【读书笔记】数据出现多重共线性情况：岭回归 lasso回归 适应性lasso回归 偏最小二乘回归

# 2.2.3 数据出现多重共线性情况：岭回归，lasso回归，适应性lasso回归，偏最小二乘回归

# 有一些关于多重共线性的度量，其中之一是容忍度(tolerance)或（等价的）方差膨胀因子(variance inflation factor, VIF),而另一个是条件数(condition number),

# 容忍度太小（按照一些文献，比如小于0.2或0.1）或者VIF太大（比如大于5或者10则有多重共线性问题

# 这里介绍常用的处理多重共线性的集中方法，包括岭回归(ridge regression),lasso回归，适应性lasso回归，及偏最小二乘回归(partial least squares regression 或PCR)

# 例2.3 糖尿病数据

# 首先，我们来看共线性问题，VIF可以通过R程序包car的函数vif（）得到，条件数k则可以从R固有的函数kappa()得到。

# 下面在计算VIF时使用数据x2.与这些计算有关的代码如下：

w=read.csv("E:\\资料\\学习\\R语言读书笔记汇总\\吴喜之老师\\复杂数据统计方法_基于R的应用2nd\\读书笔记\\第二章\\diabetes.csv")

# w[,1:10]为x，w[,11]为y，而w[,12:75]为x2

kappa(w[,12:75]) #x2的条件数

## [1] 11427

library(car) #包含vif的包

vif(lm(y~.,w[,11:75]))

## x2.age x2.sex x2.bmi x2.map x2.tc x2.ldl

## 1.515e+00 1.503e+00 2.526e+00 1.852e+00 1.295e+06 1.000e+06

## x2.hdl x2.tch x2.ltg x2.glu x2.age.2 x2.bmi.2

## 1.808e+05 2.685e+01 1.400e+05 1.749e+00 1.703e+00 2.448e+00

## x2.map.2 x2.tc.2 x2.ldl.2 x2.hdl.2 x2.tch.2 x2.ltg.2

## 1.812e+00 1.759e+04 1.001e+04 8.929e+02 1.300e+02 1.056e+03

## x2.glu.2 x2.age.sex x2.age.bmi x2.age.map x2.age.tc x2.age.ldl

## 3.127e+00 1.902e+00 2.237e+00 2.055e+00 1.344e+02 8.631e+01

## x2.age.hdl x2.age.tch x2.age.ltg x2.age.glu x2.sex.bmi x2.sex.map

## 2.779e+01 1.561e+01 1.767e+01 2.280e+00 2.142e+00 1.972e+00

## x2.sex.tc x2.sex.ldl x2.sex.hdl x2.sex.tch x2.sex.ltg x2.sex.glu

## 1.231e+02 7.761e+01 2.647e+01 1.408e+01 1.810e+01 1.914e+00

## x2.bmi.map x2.bmi.tc x2.bmi.ldl x2.bmi.hdl x2.bmi.tch x2.bmi.ltg

## 2.631e+00 1.574e+02 1.111e+02 3.841e+01 1.881e+01 2.313e+01

## x2.bmi.glu x2.map.tc x2.map.ldl x2.map.hdl x2.map.tch x2.map.ltg

## 2.925e+00 1.643e+02 1.164e+02 3.383e+01 1.392e+01 2.610e+01

## x2.map.glu x2.tc.ldl x2.tc.hdl x2.tc.tch x2.tc.ltg x2.tc.glu

## 2.943e+00 4.890e+04 5.141e+03 1.096e+03 6.118e+04 1.251e+02

## x2.ldl.hdl x2.ldl.tch x2.ldl.ltg x2.ldl.glu x2.hdl.tch x2.hdl.ltg

## 3.537e+03 7.632e+02 4.240e+04 9.004e+01 3.545e+02 7.500e+03

## x2.hdl.glu x2.tch.ltg x2.tch.glu x2.ltg.glu

## 3.108e+01 1.377e+02 1.950e+01 2.473e+01

# 计算结果表明，数据x2的条件数是11427.09，而x2最大的5个VIF依次是1295001.21,1000312.11,180836.83,139965.06,61177.87.看来共线性问题很严重，我们就不尝试简单回归了。

# 下面分别介绍几种应对具有共线性问题数据的回归方法。

# 1 岭回归

# 采用可以自动选择岭回归参数的程序包ridge中的函数linearRidge().代码如下：

if(!require(ridge)) install.packages("ridge")

## Loading required package: ridge

a=linearRidge(y~.,data=w[,11:75])

summary(a)

##

## Call:

## linearRidge(formula = y ~ ., data = w[, 11:75])

##

##

## Coefficients:

## Estimate Scaled estimate Std. Error (scaled) t value (scaled)

## (Intercept) 152.133 NA NA NA

## x2.age 29.29729.297 9.455 3.10

## x2.sex -6.866-6.866 9.728 0.71

## x2.bmi 113.513113.513 8.84912.83

## x2.map 83.24483.244 9.265 8.98

## x2.tc27.11427.114 8.090 3.35

## x2.ldl 18.19018.190 8.110 2.24

## x2.hdl -68.954-68.954 8.423 8.19

## x2.tch 68.20268.202 7.436 9.17

## x2.ltg 106.126106.126 8.56612.39

## x2.glu 62.48962.489 9.144 6.83

## x2.age.2 5.1245.124 9.240 0.55

## x2.bmi.2 47.47647.476 9.073 5.23

## x2.map.2 26.91026.910 9.450 2.85

## x2.tc.2 4.0224.022 6.918 0.58

## x2.ldl.2 -2.139-2.139 6.825 0.31

## x2.hdl.2 -19.166-19.166 8.034 2.39

## x2.tch.2 14.40814.408 6.741 2.14

## x2.ltg.2 4.8764.876 8.380 0.58

## x2.glu.2 19.85619.856 8.336 2.38

## x2.age.sex 17.70017.700 9.439 1.88

## x2.age.bmi -6.626-6.626 8.853 0.75

## x2.age.map 18.11218.112 9.150 1.98

## x2.age.tc -14.754-14.754 7.900 1.87

## x2.age.ldl -24.376-24.376 8.036 3.03

## x2.age.hdl -4.115-4.115 8.794 0.47

## x2.age.tch -1.788-1.788 7.582 0.24

## x2.age.ltg 12.68612.686 8.319 1.52

## x2.age.glu 11.40911.409 8.731 1.31

## x2.sex.bmi 7.8747.874 8.900 0.88

## x2.sex.map 10.97810.978 9.291 1.18

## x2.sex.tc 3.2153.215 7.901 0.41

## x2.sex.ldl -6.899-6.899 8.083 0.85

## x2.sex.hdl 17.66017.660 8.759 2.02

## x2.sex.tch -4.875-4.875 7.874 0.62

## x2.sex.ltg 4.8404.840 8.700 0.56

## x2.sex.glu 4.8624.862 9.057 0.54

## x2.bmi.map 28.08828.088 8.755 3.21

## x2.bmi.tc -13.377-13.377 7.483 1.79

## x2.bmi.ldl -18.762-18.762 7.504 2.50

## x2.bmi.hdl -7.063-7.063 7.982 0.88

## x2.bmi.tch 6.7806.780 7.267 0.93

## x2.bmi.ltg 11.99511.995 8.340 1.44

## x2.bmi.glu 23.42923.429 8.268 2.83

## x2.map.tc 0.9700.970 7.992 0.12

## x2.map.ldl -11.207-11.207 8.113 1.38

## x2.map.hdl 9.0059.005 8.701 1.03

## x2.map.tch -5.510-5.510 7.642 0.72

## x2.map.ltg 13.07313.073 8.170 1.60

## x2.map.glu 7.2967.296 8.383 0.87

## x2.tc.ldl 0.1050.105 6.645 0.02

## x2.tc.hdl 0.7470.747 7.727 0.10

## x2.tc.tch 0.9380.938 5.844 0.16

## x2.tc.ltg 0.6810.681 7.516 0.09

## x2.tc.glu 3.8203.820 7.557 0.51

## x2.ldl.hdl 15.82515.825 7.700 2.06

## x2.ldl.tch -5.240-5.240 6.169 0.85

## x2.ldl.ltg -14.830-14.830 7.671 1.93

## x2.ldl.glu -3.107-3.107 7.757 0.40

## x2.hdl.tch 1.5951.595 7.236 0.22

## x2.hdl.ltg 5.6765.676 8.145 0.70

## x2.hdl.glu -8.936-8.936 8.425 1.06

## x2.tch.ltg 3.6333.633 7.008 0.52

## x2.tch.glu 19.05919.059 7.073 2.69

## x2.ltg.glu 13.31713.317 7.630 1.75

## Pr(>|t|)

## (Intercept) NA

## x2.age 0.0019 **

## x2.sex 0.4803

## x2.bmi < 2e-16 ***

## x2.map < 2e-16 ***

## x2.tc0.0008 ***

## x2.ldl 0.0249 *

## x2.hdl 2.2e-16 ***

## x2.tch < 2e-16 ***

## x2.ltg < 2e-16 ***

## x2.glu 8.3e-12 ***

## x2.age.2 0.5792

## x2.bmi.2 1.7e-07 ***

## x2.map.2 0.0044 **

## x2.tc.2 0.5610

## x2.ldl.2 0.7539

## x2.hdl.2 0.0170 *

## x2.tch.2 0.0326 *

## x2.ltg.2 0.5607

## x2.glu.2 0.0172 *

## x2.age.sex 0.0608 .

## x2.age.bmi 0.4542

## x2.age.map 0.0478 *

## x2.age.tc 0.0618 .

## x2.age.ldl 0.0024 **

## x2.age.hdl 0.6398

## x2.age.tch 0.8136

## x2.age.ltg 0.1273

## x2.age.glu 0.1913

## x2.sex.bmi 0.3763

## x2.sex.map 0.2374

## x2.sex.tc 0.6841

## x2.sex.ldl 0.3934

## x2.sex.hdl 0.0438 *

## x2.sex.tch 0.5358

## x2.sex.ltg 0.5780

## x2.sex.glu 0.5914

## x2.bmi.map 0.0013 **

## x2.bmi.tc 0.0738 .

## x2.bmi.ldl 0.0124 *

## x2.bmi.hdl 0.3762

## x2.bmi.tch 0.3508

## x2.bmi.ltg 0.1504

## x2.bmi.glu 0.0046 **

## x2.map.tc 0.9034

## x2.map.ldl 0.1672

## x2.map.hdl 0.3007

## x2.map.tch 0.4709

## x2.map.ltg 0.1095

## x2.map.glu 0.3841

## x2.tc.ldl 0.9874

## x2.tc.hdl 0.9230

## x2.tc.tch 0.8725

## x2.tc.ltg 0.9278

## x2.tc.glu 0.6132

## x2.ldl.hdl 0.0399 *

## x2.ldl.tch 0.3957

## x2.ldl.ltg 0.0532 .

## x2.ldl.glu 0.6888

## x2.hdl.tch 0.8255

## x2.hdl.ltg 0.4859

## x2.hdl.glu 0.2889

## x2.tch.ltg 0.6042

## x2.tch.glu 0.0070 **

## x2.ltg.glu 0.0809 .

## ---

## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

##

## Ridge parameter: 5.363, chosen automatically, computed using 1 PCs

##

## Degrees of freedom: model 7.7 , variance 2.26 , residual 13.2

# 计算结果包含了估计的岭回归参数(5.363159)以及各个变量的系数

# 2 Lasso回归

# 在原理上和岭回归的想法有些相似，但惩罚项中不是系数的平方而是其绝对值。处于绝对值的特点，lasso回归不像岭回归那样把系数缩小，而是筛选掉一些系数。

# 这里主要使用R程序包lars中的函数lars（）

# 对于糖尿病数据，计算代码如下：

library(lars)

## Loaded lars 1.2

# 由于lar函数只用于矩阵型数据

# 下面就把数据中的自变量和因变量变为矩阵形式

x=as.matrix(w[,1:10])

y=as.matrix(w[,11])

x2=as.matrix(w[,12:75])

laa=lars(x2,y)

plot(laa) #绘出图

summary(laa) #给出Cp值

## LARS/LASSO

## Call: lars(x = x2, y = y)

## Df Rss Cp

## 0 1 2621009 485.0

## 1 2 2510465 448.0

## 2 3 1700369 164.1

## 3 4 1527165 105.0

## 4 5 1406132 64.3

## 5 6 1383106 58.1

## 6 7 1376775 57.9

## 7 8 1348060 49.8

## 8 9 1344199 50.4

## 9 10 1334100 48.8

## 10 11 1322126 46.6

## 11 12 1260433 26.8

## 12 13 1249726 25.1

## 13 14 1234993 21.9

## 14 15 1225552 20.5

## 15 16 1213289 18.2

## 16 17 1212253 19.8

## 17 18 1210149 21.1

## 18 19 1206003 21.6

## 19 20 1204605 23.1

## 20 21 1204456 25.1

## 21 22 157 26.3

## 22 23 124 28.1

## 23 24 1198460 29.0

## 24 25 1195878 30.1

## 25 26 1195220 31.8

## 26 27 1192542 32.9

## 27 28 1187670 33.2

## 28 29 1186523 34.8

## 29 30 1183037 35.5

## 30 31 1183016 37.5

## 31 32 1179856 38.4

## 32 33 1174062 38.4

## 33 32 1167872 34.2

## 34 33 1159747 33.3

## 35 34 1153420 33.1

## 36 33 1146020 28.5

## 37 34 1137971 27.6

## 38 35 1137230 29.4

## 39 34 1131811 25.4

## 40 35 1127200 25.8

## 41 36 1124311 26.8

## 42 37 1124258 28.8

## 43 38 1121886 29.9

## 44 39 1119587 31.1

## 45 38 1119329 29.0

## 46 39 1118865 30.9

## 47 40 1117079 32.2

## 48 41 1116458 34.0

## 49 40 1116362 32.0

## 50 41 1115726 33.8

## 51 42 1114325 35.3

## 52 43 1111865 36.4

## 53 44 1108981 37.4

## 54 45 1107598 38.9

## 55 46 1104947 40.0

## 56 47 1103193 41.3

## 57 46 1102828 39.2

## 58 47 1101354 40.7

## 59 48 1100599 42.4

## 60 49 1097168 43.2

## 61 50 1094770 44.4

## 62 51 1094123 46.1

## 63 50 1092734 43.6

## 64 51 1089882 44.6

## 65 52 1088990 46.3

## 66 53 1088526 48.2

## 67 52 1087920 46.0

## 68 53 1086464 47.4

## 69 54 1086371 49.4

## 70 55 1086313 51.4

## 71 54 1085177 49.0

## 72 55 1084456 50.7

## 73 56 1083088 52.2

## 74 57 1082815 54.1

## 75 56 1082810 52.1

## 76 57 1082236 54.0

## 77 58 1081182 55.6

## 78 57 1079531 53.0

## 79 58 1079361 54.9

## 80 57 1078568 52.6

## 81 56 1078453 50.6

## 82 57 1078313 52.6

## 83 58 1077211 54.2

## 84 59 1076986 56.1

## 85 60 1076081 57.8

## 86 61 1075894 59.7

## 87 62 1075233 61.5

## 88 63 1074810 63.3

## 89 64 1074665 65.3

## 90 63 1074148 63.1

## 91 62 1074029 61.0

## 92 63 1074004 63.0

## 93 62 1073798 61.0

## 94 63 1073783 63.0

## 95 64 1073762 65.0

## 96 63 1072676 62.6

## 97 64 1071932 64.3

## 98 63 1071790 62.3

## 99 62 1071439 60.1

## 100 63 1070725 61.9

## 101 64 1068231 63.0

## 102 65 1068228 65.0

## 103 64 1068227 63.0

## 104 65 1068220 65.0

cva=cv.lars(x2,y,K=10) #10折交叉验证

best=cva$index[which.min(cva$cv)] #选合适的值（随机性使得结果不同）

coef=coef.lars(laa,mode="fraction",s=best) #使得CV最小步时的系数

min(laa$Cp) #哪个Cp最小,结果是第15个

## [1] 18.2

coef1=coef.lars(laa,mode="step",s=15) #使laa$Cp最小的step系数

# 3 适应性lasso回归

# 适应性lasso(adaptive lasso,alasso)回归是lasso回归的改进型。与lasso回归和岭回归类似，但惩罚项是系数绝对值的加权平均。

# 这里使用的是程序包msgps，其中不仅包括适应性lasso(alasso),还包括弹性网络(elasticnet)及广义弹性网络(generalized elastic net)等方法

# 对于糖尿病数据的例子，计算代码为：

w=read.csv("E:\\资料\\学习\\R语言读书笔记汇总\\吴喜之老师\\复杂数据统计方法_基于R的应用2nd\\读书笔记\\第二章\\diabetes.csv")

x=as.matrix(w[,1:10]);y=w[,11];x2=as.matrix(w[,12:75])

if(!require(msgps)) install.packages("msgps")

## Loading required package: msgps

# adaptive lasso

al=msgps(x2,y,penalty="alasso",gamma=1,lambda=0)

summary(al)

##

## Call: msgps(X = x2, y = y, penalty = "alasso", gamma = 1, lambda = 0)

##

## Penalty: "alasso"

##

## gamma: 1

##

## lambda: 0

##

## df:

## tuning df

## [1,] 0.00 0.00

## [2,] 0.45 1.04

## [3,] 1.70 4.42

## [4,] 2.96 9.16

## [5,] 4.41 12.27

## [6,] 5.47 13.97

## [7,] 6.70 16.26

## [8,] 7.99 18.71

## [9,] 9.70 22.07

## [10,] 12.05 26.03

## [11,] 14.32 28.88

## [12,] 16.44 31.11

## [13,] 18.88 33.14

## [14,] 21.60 36.35

## [15,] 24.53 40.05

## [16,] 27.54 43.27

## [17,] 30.86 45.31

## [18,] 34.57 47.12

## [19,] 38.64 49.19

## [20,] 45.23 54.15

##

## tuning.max: 45.3

##

## ms.coef:

##Cp AICC GCV BIC

## (Intercept) 152.133 152.133 152.133 152.1

## x2.age0.000 0.000 0.000 0.0

## x2.sex -215.085 -215.085 -216.328 -163.5

## x2.bmi 505.387 505.387 505.387 505.4

## x2.map 312.060 312.060 313.303 275.4

## x2.tc -148.570 -148.570 -148.570 -148.6

## x2.ldl 17.406 17.406 18.027 10.6

## x2.hdl -229.382 -229.382 -230.004 -219.4

## x2.tch0.000 0.000 0.000 0.0

## x2.ltg 703.067 703.067 703.067 672.6

## x2.glu0.000 0.000 0.000 0.0

## x2.age.2 0.000 0.000 0.000 0.0

## x2.bmi.2 0.000 0.000 0.000 0.0

## x2.map.2 0.000 0.000 0.000 0.0

## x2.tc.2 110.651 110.651 130.543 -36.7

## x2.ldl.2 -81.434 -81.434 -93.867 0.0

## x2.hdl.2 -26.730 -26.730 -29.217 0.0

## x2.tch.2 88.893 88.893 91.380 13.7

## x2.ltg.2 355.574 355.574 361.790 159.8

## x2.glu.2 37.920 37.920 39.784 0.0

## x2.age.sex 162.246 162.246 162.868 99.5

## x2.age.bmi 0.000 0.000 0.000 0.0

## x2.age.map 0.000 0.000 0.000 0.0

## x2.age.tc 0.000 0.000 0.000 0.0

## x2.age.ldl 0.000 0.000 0.000 0.0

## x2.age.hdl 0.000 0.000 0.000 0.0

## x2.age.tch 0.000 0.000 0.000 0.0

## x2.age.ltg 34.190 34.190 36.055 0.0

## x2.age.glu 0.000 0.000 0.000 0.0

## x2.sex.bmi 0.000 0.000 0.000 0.0

## x2.sex.map 19.271 19.271 23.622 0.0

## x2.sex.tc 31.703 31.703 33.568 0.0

## x2.sex.ldl -57.812 -57.812 -60.920 0.0

## x2.sex.hdl 26.109 26.109 28.595 0.0

## x2.sex.tch 0.000 0.000 0.000 0.0

## x2.sex.ltg 0.000 0.000 0.000 0.0

## x2.sex.glu 0.000 0.000 0.000 0.0

## x2.bmi.map 115.624 115.624 117.489 68.4

## x2.bmi.tc 0.000 0.000 0.000 0.0

## x2.bmi.ldl 0.000 0.000 0.000 0.0

## x2.bmi.hdl 0.000 0.000 0.000 0.0

## x2.bmi.tch 0.000 0.000 0.000 0.0

## x2.bmi.ltg 0.000 0.000 0.000 0.0

## x2.bmi.glu 0.000 0.000 0.000 0.0

## x2.map.tc 19.271 19.271 19.271 11.2

## x2.map.ldl 0.000 0.000 0.000 0.0

## x2.map.hdl 3.108 3.108 6.838 0.0

## x2.map.tch 0.000 0.000 0.000 0.0

## x2.map.ltg 0.000 0.000 0.000 0.0

## x2.map.glu 0.000 0.000 0.000 0.0

## x2.tc.ldl 88.893 88.893 88.272 60.9

## x2.tc.hdl -0.622 -0.622 -0.622 19.9

## x2.tc.tch -265.437 -265.437 -271.032 -135.5

## x2.tc.ltg -639.660 -639.660 -653.958 -299.6

## x2.tc.glu 0.000 0.000 0.000 0.0

## x2.ldl.hdl -96.975 -96.975 -106.921 -23.0

## x2.ldl.tch 0.000 0.000 0.000 0.0

## x2.ldl.ltg 538.956 538.956 542.064 333.2

## x2.ldl.glu 0.000 0.000 0.000 0.0

## x2.hdl.tch -23.622 -23.622 -23.622 -23.6

## x2.hdl.ltg 247.410 247.410 248.653 128.1

## x2.hdl.glu 0.000 0.000 0.000 0.0

## x2.tch.ltg 0.000 0.000 0.000 0.0

## x2.tch.glu 95.731 95.731 95.731 78.3

## x2.ltg.glu 0.000 0.000 0.000 0.0

##

## ms.tuning:

## Cp AICC GCV BIC

## [1,] 8.16 8.16 8.34 5.11

##

## ms.df:

## Cp AICC GCV BIC

## [1,] 19 19 19.3 13.3

plot(al)

# 4 偏最小二乘回归

# 偏最小二乘回归有些类似于主成分回归，主成分回归是在自变量和因变量（如果也有多个变量）中各自找到一些互相独立的主成分，然后按照计算主成分时得到的特征值的大小（特征值较大的主成分对原来变量的代表性也较强）

# 来选取主成分，主成分是独立的，用这些主成分代替原来的变量进行回归，共性性问题就解决了。

# 偏最小二乘回归则在因变量（如果也有多个变量组成）和自变量中先各自寻找一个因子（成分），条件是这两个因子在其他可能的成分中最相关，

# 然后在这选中的一对银子的正交空间中再选一对最相关的因子，如此下去，直到这些对因子有充分代表性为止（可以用交叉验证）。

# 对糖尿病数据使用程序包pls。该程序包也可以做主成分回归。

library(lars)

if(!require(pls)) install.packages("pls")

## Loading required package: pls

##

## Attaching package: 'pls'

##

## 下列对象被屏蔽了from 'package:stats':

##

## loadings

ap=plsr(y~x2,64,validation="CV") #求出所有可能的64个因子

ap$loadings #看代表性，前28个因子可以代表76.4%的方差

##

## Loadings:

##Comp 1 Comp 2 Comp 3 Comp 4 Comp 5 Comp 6 Comp 7 Comp 8 Comp 9

## x2.age 0.153 -0.168

## x2.sex 0.123 -0.159 -0.168 -0.2040.117

## x2.bmi 0.338 0.1230.165

## x2.map 0.267 0.106 0.127

## x2.tc 0.226 -0.139 -0.214 0.160

## x2.ldl 0.209 -0.148 -0.326 0.230

## x2.hdl -0.276 0.140 -0.186

## x2.tch 0.363 -0.136 0.176

## x2.ltg 0.359 0.1090.127

## x2.glu 0.300 -0.100

## x2.age.2 0.254 -0.171

## x2.bmi.2 0.1540.195 -0.136 -0.289 -0.319

## x2.map.2 0.1150.125 -0.215 0.250

## x2.tc.2-0.172 0.175 -0.179 0.312 -0.146 -0.215

## x2.ldl.2-0.216 0.168 -0.306 0.258

## x2.hdl.2-0.1100.329 -0.253 0.117

## x2.tch.2 0.153 -0.3000.186

## x2.ltg.2 0.137 -0.164 -0.121 0.267 -0.221

## x2.glu.2 0.142 -0.144 -0.148 0.259 0.182

## x2.age.sex 0.158 0.191 -0.277

## x2.age.bmi 0.203 -0.271 -0.117 0.170 0.171 -0.216

## x2.age.map 0.262 -0.176 -0.202 -0.1010.105

## x2.age.tc -0.1110.264 -0.261 0.147 0.106

## x2.age.ldl -0.1270.249 -0.288

## x2.age.hdl 0.235 -0.107 -0.157 0.126 0.153

## x2.age.tch 0.220 -0.326 0.139

## x2.age.ltg 0.217 -0.261 0.247

## x2.age.glu 0.213 -0.238 0.202 -0.109

## x2.sex.bmi -0.113 -0.115 0.458 -0.167 -0.101

## x2.sex.map 0.354 -0.298 -0.104

## x2.sex.tc-0.141 0.190 -0..141 -0.247 0.500

## x2.sex.ldl -0.144 0.175 -0.2560.164 -0.226 0.472

## x2.sex.hdl -0.1430.141 -0.259 0.291

## x2.sex.tch -0.150 0.101 -0.1690.276 -0.397 0.272

## x2.sex.ltg -0.1140.264 -0.415 0.165

## x2.sex.glu -0.1030.267 -0.321 0.159

## x2.bmi.map 0.149 -0.156 -0.171 0.351

## x2.bmi.tc-0.222 0.209 0.1240.242 -0.235

## x2.bmi.ldl -0.236 0.229 -0.130 0.192 -0.331

## x2.bmi.hdl0.135 -0..371 -0.153 -0.116 0.244

## x2.bmi.tch -0.248 0.157 -0.2100.226 -0.388

## x2.bmi.ltg 0.125 -0.168 -0.107 -0.192 0.146 0.334 -0.130

## x2.bmi.glu 0.152 -0.141 0.126 -0.141 -0.167 0.141 0.167 -0.240

## x2.map.tc-0.118 0.225 -0.113 -0.1180.325

## x2.map.ldl -0.137 0.212-0.158 0.197

## x2.map.hdl0.144 -0.174 -0.319 0.207 0.207

## x2.map.tch -0.204 -0.127 0..172 -0.270

## x2.map.ltg 0.115 -0.134 -0.190 0.242 -0.146 0.229

## x2.map.glu 0.108 -0.241 0.176 -0.180 -0.128 0.104

## x2.tc.ldl-0.195 0.185 -0.266 0.309 -0.111 -0.125

## x2.tc.hdl0.229 -0.233

## x2.tc.tch 0.100 -0.294 0.185 -0.166 0.224 -0.193

## x2.tc.ltg-0.223 0.150 0.210 -0.229 -0.135

## x2.tc.glu-0.225 0.184 -0.111 -0.169

## x2.ldl.hdl0.242 -0.222 0.153 -0.144 -0.216

## x2.ldl.tch -0.278 0.182 0.121 -0.278 0.204

## x2.ldl.ltg -0.247 0.188 0.234 -0.104

## x2.ldl.glu -0.220 0.196 0.119 -0.136

## x2.hdl.tch0.239 -0.3220.196 -0.131 -0.122

## x2.hdl.ltg0.221 -0.188 0.235 -0.152

## x2.hdl.glu -0.129 0.185 -0.215 0.156

## x2.tch.ltg 0.152 -0.297 0.202 -0.154

## x2.tch.glu 0.166 -0.265 0.213 -0.113

## x2.ltg.glu 0.168 -0.202 -0.184 0.309 -0.131 0.107

##Comp 10 Comp 11 Comp 12 Comp 13 Comp 14 Comp 15 Comp 16 Comp 17

## x2.age -0.1940.167 0.148 -0.263

## x2.sex 0.149 -0.2040.143

## x2.bmi 0.173 -0.130-0.1320.110

## x2.map -0.162 0.260 -0.123

## x2.tc -0.1490.112-0.294 0.333 0.128 -0.282

## x2.ldl -0.232 0.342-0.129

## x2.hdl -0.327 0.260-0.184 0.126 0.307 -0.137

## x2.tch -0.107 0.259 -0.2230.159 -0.259

## x2.ltg -0.2160.194 -0.166

## x2.glu -0.141 0.209 -0.1680.172

## x2.age.20.215 -0.209-0.189 0.211

## x2.bmi.2 0.206 -0.101 0.264

## x2.map.2 0.108 -0.204 0.174 -0.1180.144 -0.195

## x2.tc.2 0.460 -0.3500.121 -0.130 -0.241

## x2.ldl.2 0.324 -0.2560.174 -0.135

## x2.hdl.2-0.2200.108 -0.284 0.359 -0.170 -0.238

## x2.tch.2-0.250 0.2410.116 -0.111

## x2.ltg.2 0.268-0.215 0.254 -0.366

## x2.glu.2-0.257 0.356 -0.260 -0.427 0.332

## x2.age.sex 0.144 0.130 -0.3440.189 -0.173

## x2.age.bmi 0.259 -0.219

## x2.age.map0.167 -0.111-0.180-0.116

## x2.age.tc -0.1900.250 -0.411 0.119 0.109

## x2.age.ldl -0.1440.204 -0.393 0.133

## x2.age.hdl -0.122 -0.276 0.485 -0.1820.189 -0.222

## x2.age.tch0.220 -0.310 0.354 -0.217 0.2230.157

## x2.age.ltg -0.176 0.329 -0.2570.234

## x2.age.glu -0.1050.125 -0.116 0.175 -0.347 0.193

## x2.sex.bmi 0.1020.162-0.115 -0.116 0.144

## x2.sex.map 0.160

## x2.sex.tc -0.292 0.158 -0.137

## x2.sex.ldl -0.314 -0.167

## x2.sex.hdl -0.1110.371 -0.200

## x2.sex.tch -0.145 -0.138

## x2.sex.ltg -0.1170.375

## x2.sex.glu 0.109 -0.156 0.174 -0.120 0.138

## x2.bmi.map 0.114 -0.3040.212 -0.108 0.148 -0.211

## x2.bmi.tc -0.178 0.197 0.147 -0.314 0.1230.178

## x2.bmi.ldl -0.135 0.337 0.186 -0.257 -0.104

## x2.bmi.hdl -0.2540.1020.114

## x2.bmi.tch0.234

## x2.bmi.ltg 0.158 -0.180-0.164 0.1570.407

## x2.bmi.glu-0.280 0.340 -0.145 0.194-0.198

## x2.map.tc -0.294 0.235-0.358 0.153 0.107 0.216 -0.404

## x2.map.ldl -0.230 0.389-0.325 0.177 -0.381

## x2.map.hdl -0.140 -0.139 0.158 -0.1800.222 0.126 0.114

## x2.map.tch -0.130 0.248 -0.1510.162 -0.319

## x2.map.ltg -0.136 0.425 -0.254

## x2.map.glu -0.113 -0.283 0.374 -0.167 0.128

## x2.tc.ldl 0.431 -0.2700.115

## x2.tc.hdl 0.405 -0.356 0.146-0.185 0.390-0.348

## x2.tc.tch-0.133 -0.139 0.139-0.2040.160

## x2.tc.ltg -0.121 0.371 -0.336

## x2.tc.glu 0.143 -0.272 0.141 -0.197 0.148 0.132 -0.378 0.143

## x2.ldl.hdl 0.383 -0.237 0.107 0.142 -0.269

## x2.ldl.tch 0.130 -0.110 0.228

## x2.ldl.ltg 0.139 -0.1180.401

## x2.ldl.glu 0.125 -0.177 0.129 -0.233 0.107 0.280 -0.411 0.279

## x2.hdl.tch 0.1240.175 -0.199 0.160 -0.260 0.199 0.108

## x2.hdl.ltg-0.156 0.286 -0.1720.119 -0.135

## x2.hdl.glu -0.1180.231 -0.194 0.146 -0.283

## x2.tch.ltg -0.277 0.159-0.109 0.298 -0.138

## x2.tch.glu 0.1100.294 -0.240 0.334

## x2.ltg.glu 0.127 -0.138 0.250 -0.101 -0.154

##Comp 18 Comp 19 Comp 20 Comp 21 Comp 22 Comp 23 Comp 24 Comp 25

## x2.age 0.114 -0.160 0.180 -0.261 0.210 0.268 -0.407 0.193

## x2.sex0.249 -0.486 0.197 -0.121 0.327

## x2.bmi -0.294 0.127 0.184

## x2.map -0.338 0.415-0.122-0.257 0.275

## x2.tc 0.119-0.269 0.354 -0.330

## x2.ldl-0.120 0.318 -0.274-0.148

## x2.hdl 0.212 -0.380 0.316 -0.2550.316

## x2.tch -0.143 0.205 -0.1010.118 -0.277

## x2.ltg 0.158 0.128 -0.212 0.146

## x2.glu -0.1760.145-0.194 0.280

## x2.age.2 0.216 -0.151 -0.154 0.148

## x2.bmi.2 -0.126 -0.177 0.130 -0.106

## x2.map.2 0.189 -0.343 0.483 -0.166 -0.115 -0.356

## x2.tc.2 0.145

## x2.ldl.2 0.113 -0.179 0.154

## x2.hdl.2 0.2470.157-0.125-0.137

## x2.tch.2-0.1140.146 -0.222

## x2.ltg.20.413 -0.157 0.112 -0.169

## x2.glu.2

## x2.age.sex -0.315 0.293 0.204 -0.4350.168 -0.116

## x2.age.bmi 0.214 -0.163-0.144 0.159

## x2.age.map 0.314-0.280 -0.102 0.120 0.216

## x2.age.tc -0.116 0.193-0.307 0.281 -0.104

## x2.age.ldl -0.289 0.386

## x2.age.hdl 0.134-0.308 0.426-0.302 0.178 -0.144

## x2.age.tch -0.1470.178 -0.206

## x2.age.ltg -0.1810.149 0.262 0.146 -0.326

## x2.age.glu 0.246 -0.128

## x2.sex.bmi0.102 -0.1440.157 -0.101 -0.147

## x2.sex.map -0.1980.356 -0.285 0.107 -0.123

## x2.sex.tc -0.203 0.377 -0.142 -0.111 0.2060.148

## x2.sex.ldl0.315 -0.125 -0.1930.141

## x2.sex.hdl -0.201 0.100 0.100 -0.324 0.435 -0.483 0.168 0.109

## x2.sex.tch -0.283 0.228 -0.307 0.318

## x2.sex.ltg -0.278 0.137 -0.179 0.338 -0.107 -0.2210.143

## x2.sex.glu -0.405 0.153 0.209 -0.137

## x2.bmi.map 0.114 -0.278 0.327-0.163 0.114 0.217 -0.218

## x2.bmi.tc -0.127 0.164 -0.163 0.126 -0.141 0.191

## x2.bmi.ldl0.168 0.181-0.1050.204

## x2.bmi.hdl 0.143 -0.317 0.123

## x2.bmi.tch0.130 -0.140

## x2.bmi.ltg0.106 -0.3190.121 0.119 -0.182

## x2.bmi.glu -0.116 0.118 -0.166

## x2.map.tc 0.312 -0.149

## x2.map.ldl 0.388 -0.217 0.1240.166 -0.199

## x2.map.hdl -0.332 0.216 -0.198 0.129 -0.225 0.312 -0.117

## x2.map.tch 0.445 -0.2730.191 -0.256

## x2.map.ltg 0.315 -0.197-0.1560.146 -0.126 0.145

## x2.map.glu 0.192 -0.192 0.118 -0.181 -0.2190.287

## x2.tc.ldl 0.127 -0.137 0.110

## x2.tc.hdl 0.242 0.130 -0.115-0.112

## x2.tc.tch0.102

## x2.tc.ltg0.204-0.227 -0.147 0.307-0.203

## x2.tc.glu -0.138 0.1560.111 -0.288 0.290

## x2.ldl.hdl0.201 -0.274 0.151-0.120

## x2.ldl.tch-0.225 0.134 -0.128 -0.105

## x2.ldl.ltg -0.1750.182 0.119 -0.223

## x2.ldl.glu-0.103 0.156

## x2.hdl.tch0.1170.198 -0.116

## x2.hdl.ltg 0.126 -0.1630.335 -0.182

## x2.hdl.glu 0.261-0.127 0.245 -0.167 0.141 -0.332 0.268

## x2.tch.ltg0.1560.190 -0.1130.232

## x2.tch.glu -0.156-0.143

## x2.ltg.glu -0.173 0.1430.1140.110 -0.191

##Comp 26 Comp 27 Comp 28 Comp 29 Comp 30 Comp 31 Comp 32 Comp 33

## x2.age -0.165 0.254 -0.2620.378 -0.373 -0.110 0.128

## x2.sex -0.396 0.275-0.288 0.349 -0.378 0.189 0.147

## x2.bmi -0.347 0.311 -0.148

## x2.map -0.204 0.207-0.340 0.227 0.102 -0.152

## x2.tc 0.218 -0.296 0.167-0.167 0.232 -0.162 0.140

## x2.ldl 0.348 -0.276 -0.103 0.246 -0.212

## x2.hdl 0.164-0.130 0.130

## x2.tch 0.223 -0.1090.114

## x2.ltg -0.2060.250 0.102 0.285

## x2.glu -0.4420.256-0.193 0.110 0.351 -0.676

## x2.age.2-0.279 0.493 -0.3550.187-0.311

## x2.bmi.20.211 -0.270 0.381 -0.257-0.141 0.267

## x2.map.2 0.2810.220 -0.198 -0.1970.211

## x2.tc.2 -0.119

## x2.ldl.2 -0.186

## x2.hdl.2 -0.1190.124-0.111 0.126 -0.104

## x2.tch.2 0.273-0.136

## x2.ltg.2-0.277

## x2.glu.20.182

## x2.age.sex 0.175 -0.187 0.134 -0.244 0.271 -0.280 0.277 -0.166

## x2.age.bmi 0.413 -0.536 0.267 0.285 -0.327 0.186

## x2.age.map-0.375 0.469 -0.257 0.388 -0.193 -0.390 0.361

## x2.age.tc -0.120 0.260 -0.270 0.179-0.238 0.179

## x2.age.ldl -0.147 0.362 -0.348 0.174-0.160 0.175 -0.172

## x2.age.hdl -0.247 0.285 -0.210 0.145

## x2.age.tch -0.102-0.239 0.382 -0.174

## x2.age.ltg-0.1300.247 -0.136

## x2.age.glu-0.258 0.437 -0.144 -0.318 0.126 0.177 0.159

## x2.sex.bmi 0.1730.206 -0.272 -0.166

## x2.sex.map 0.278 -0.266-0.176 0.258 -0.293 0.524 -0.460

## x2.sex.tc -0.247 0.197 0.101

## x2.sex.ldl -0.428 0.255 -0.113-0.102 0.188

## x2.sex.hdl 0.165 -0.236 0.204 -0.176

## x2.sex.tch0.179 -0.153 0.200 -0.240 0.203

## x2.sex.ltg 0.216 -0.187 -0.183

## x2.sex.glu-0.126 0.1620.129 -0.261 -0.121 0.446

## x2.bmi.map -0.166 0.347 -0.234 -0.109

## x2.bmi.tc-0.162 0.182-0.171

## x2.bmi.ldl-0.250 0.104

## x2.bmi.hdl 0.194 0.123 -0.2040.167

## x2.bmi.tch 0.1970.237

## x2.bmi.ltg -0.129 0.277 -0.171

## x2.bmi.glu -0.202

## x2.map.tc -0.1770.161 -0.134 0.131

## x2.map.ldl -0.109 0.258 -0.218

## x2.map.hdl 0.224 -0.107 -0.157 -0.112 0.327 -0.106 0.159 -0.121

## x2.map.tch0.121 -0.1190.128

## x2.map.ltg 0.227 -0.234 -0.171 0.1820.189 0.315

## x2.map.glu-0.4540.135 0.173 -0.154-0.350

## x2.tc.ldl -0.112

## x2.tc.hdl -0.142 0.177 -0.202

## x2.tc.tch 0.117

## x2.tc.ltg 0.104

## x2.tc.glu -0.144 0.142 -0.131 0.211 -0.166

## x2.ldl.hdl -0.207 0.177 0.114

## x2.ldl.tch 0.152-0.151

## x2.ldl.ltg 0.169 -0.155

## x2.ldl.glu -0.161 0.233 0.212 -0.395

## x2.hdl.tch -0.127 0.155

## x2.hdl.ltg 0.332-0.143-0.110 -0.115 0.248 -0.182

## x2.hdl.glu 0.130 -0.3710.215 -0.224 -0.126

## x2.tch.ltg -0.2000.113 -0.149

## x2.tch.glu0.265 -0.188 -0.291 0.165

## x2.ltg.glu 0.112-0.193 0.289 -0.247

##Comp 34 Comp 35 Comp 36 Comp 37 Comp 38 Comp 39 Comp 40 Comp 41

## x2.age 0.200 -0.126 -0.192 0.265-0.169 -0.113 0.173

## x2.sex -0.224 0.281 -0.243 0.328 -0.374 0.260

## x2.bmi -0.209 0.302

## x2.map0.174 -0.270 0.158 0.314 -0.502

## x2.tc

## x2.ldl -0.106

## x2.hdl -0.110

## x2.tch 0.108

## x2.ltg -0.4010.152 0.109 -0.211 0.152

## x2.glu 0.408 -0.327 0.225 0.147 -0.344 0.308

## x2.age.20.241-0.402 0.358 -0.233 0.330 -0.248

## x2.bmi.2 0.121 -0.119 -0.1510.440 -0.341-0.186

## x2.map.2 0.106 -0.247 0.193-0.200 0.316 -0.358 0.323

## x2.tc.2 0.114 -0.120

## x2.ldl.2 -0.203 0.280 -0.191-0.189

## x2.hdl.2 0.131 -0.157 0.172

## x2.tch.2 0.208 0.116 -0.170

## x2.ltg.20.126 0.141-0.116 -0.122

## x2.glu.2 0.145-0.2100.239 -0.253

## x2.age.sex 0.148-0.153 0.197 -0.230 0.213 0.202 -0.203

## x2.age.bmi -0.149 0.168 -0.126 -0.102 0.186 -0.102 -0.213 0.325

## x2.age.map-0.110 0.140

## x2.age.tc-0.145 0.1760.138-0.108

## x2.age.ldl 0.182 -0.200 0.113 0.155 -0.139 0.190

## x2.age.hdl-0.102 0.152 -0.2690.290

## x2.age.tch -0.118-0.173 0.1760.182

## x2.age.ltg -0.131 0.124 0.148 -0.274 0.239 -0.102

## x2.age.glu-0.1940.628 -0.164 -0.374 0.248

## x2.sex.bmi 0.337 -0.124 0.394 -0.121 -0.266

## x2.sex.map 0.284 -0.286 0.2860.111 -0.114 -0.221

## x2.sex.tc -0.1430.110

## x2.sex.ldl 0.167

## x2.sex.hdl 0.108 -0.135 0.189-0.181 0.233

## x2.sex.tch -0.181 0.1060.1130.164

## x2.sex.ltg 0.1470.137 -0.131 -0.106 -0.147 0.388

## x2.sex.glu -0.349 0.142-0.265 0.138 0.101 -0.226 0.272

## x2.bmi.map -0.145 0.124 -0.207 0.167

## x2.bmi.tc -0.198 0.108 -0.147 0.198 -0.265

## x2.bmi.ldl -0.1110.1260.125 0.189 -0.215

## x2.bmi.hdl0.109 -0.247 -0.261

## x2.bmi.tch 0.131-0.354

## x2.bmi.ltg -0.163 0.2410.326 -0.3350.193

## x2.bmi.glu 0.227-0.455 0.417

## x2.map.tc0.222 -0.262 0.181 -0.158

## x2.map.ldl0.147 -0.188 0.296-0.117

## x2.map.hdl -0.320 0.184 -0.242 0.302

## x2.map.tch -0.2160.303 0.120

## x2.map.ltg -0.366 -0.376 0.340 -0.187

## x2.map.glu 0.2750.164 -0.1980.174 -0.106

## x2.tc.ldl -0.105 0.163 -0.210 0.137

## x2.tc.hdl 0.172-0.177

## x2.tc.tch -0.127-0.104

## x2.tc.ltg 0.257 -0.160 0.224 -0.156 0.153 -0.300 0.214

## x2.tc.glu 0.302 -0.324 0.294 -0.148 -0.133 0.220

## x2.ldl.hdl -0.187 0.1990.217 -0.251

## x2.ldl.tch -0.178 0.167 -0.141

## x2.ldl.ltg 0.360 -0.4000.282 -0.374 0.199

## x2.ldl.glu 0.132 -0.283 0.358 -0.2110.190

## x2.hdl.tch -0.1960.1220.135

## x2.hdl.ltg -0.174 0.108 0.312 -0.412 0.105 -0.221 0.254

## x2.hdl.glu 0.566 -0.376 0.132

## x2.tch.ltg 0.276 -0.227 -0.170 0.102 -0.110-0.117

## x2.tch.glu -0.149 0.182 0.139 -0.141 -0.129

## x2.ltg.glu -0.106 0.1170.156 -0.166

##Comp 42 Comp 43 Comp 44 Comp 45 Comp 46 Comp 47 Comp 48 Comp 49

## x2.age -0.571 0.417 -0.419 0.409 -0.556 0.405 -0.329

## x2.sex 0.163 -0.112 0.135 -0.1150.315

## x2.bmi -0.1610.228 -0.165 -0.171 0.142

## x2.map 0.373 0.213 -0.294 0.251 -0.143 0.290 -0.136 -0.272

## x2.tc

## x2.ldl

## x2.hdl 0.118

## x2.tch

## x2.ltg -0.149 -0.1460.196

## x2.glu -0.249 0.325 -0.328 0.146

## x2.age.2 0.190 -0.635 0.374 -0.214 0.235 -0.525 0.425 -0.270

## x2.bmi.2 0.375 -0.2780.1560.117

## x2.map.2 -0.264 0.181 -0.414 0.395 -0.161

## x2.tc.2

## x2.ldl.2 0.1160.123

## x2.hdl.2-0.123 0.137

## x2.tch.20.199-0.125 0.132-0.143 -0.265

## x2.ltg.2 0.272 -0.416 0.148 0.186

## x2.glu.2 0.259 0.439 -0.237 -0.1580.200

## x2.age.sex -0.180 0.520-0.494 0.2490.150

## x2.age.bmi -0.244 0.144 -0.248 0.108

## x2.age.map 0.151 0.271 -0.335 0.2090.168 -0.107 -0.251

## x2.age.tc -0.134

## x2.age.ldl-0.165 0.1040.103

## x2.age.hdl0.165-0.428 0.208

## x2.age.tch 0.148 -0.138 -0.148 0.1160.117

## x2.age.ltg -0.237 0.669 -0.3520.122 0.260

## x2.age.glu-0.469 0.2360.202-0.250 0.229

## x2.sex.bmi 0.355 -0.476 0.182 -0.167 0.637

## x2.sex.map 0.370 -0.3350.387 -0.326 -0.101 0.242 -0.269

## x2.sex.tc -0.110 0.175 -0.1910.138 -0.135

## x2.sex.ldl0.1030.126 -0.194 -0.135-0.111

## x2.sex.hdl -0.108-0.1160.275 0.121

## x2.sex.tch -0.1170.186 0.215 -0.134

## x2.sex.ltg -0.255 0.536 -0.2850.475 -0.3590.111

## x2.sex.glu -0.200 -0.675 0.463-0.345 0.691 -0.300 -0.375

## x2.bmi.map-0.114-0.282 0.469 -0.105 -0.151 0.144

## x2.bmi.tc 0.105 0.212 -0.177 -0.159 0.204 -0.207

## x2.bmi.ldl0.147 -0.167 -0.218 0.107

## x2.bmi.hdl 0.230 0.295 -0.173 0.117 -0.198

## x2.bmi.tch0.184 0.162 -0.1350.109-0.120

## x2.bmi.ltg-0.108-0.158 -0.367

## x2.bmi.glu -0.405 0.110 -0.204 0.524-0.261

## x2.map.tc-0.253 0.143 -0.108 0.228

## x2.map.ldl -0.1050.112 -0.200 0.185 -0.113 0.102

## x2.map.hdl 0.168 -0.395 -0.1960.190

## x2.map.tch -0.228

## x2.map.ltg-0.2570.369 -0.230

## x2.map.glu0.117 0.113 -0.171 -0.260 0.187

## x2.tc.ldl

## x2.tc.hdl0.222 -0.101 -0.128

## x2.tc.tch

## x2.tc.ltg-0.136 0.164 -0.134

## x2.tc.glu-0.263 0.138

## x2.ldl.hdl0.205 -0.163

## x2.ldl.tch

## x2.ldl.ltg -0.270 0.171 -0.123 0.152-0.107

## x2.ldl.glu-0.251 0.205 -0.2380.115

## x2.hdl.tch 0.112

## x2.hdl.ltg 0.192 0.207 -0.192 -0.110

## x2.hdl.glu-0.170 0.139 -0.1370.281-0.202

## x2.tch.ltg

## x2.tch.glu -0.1140.2060.119

## x2.ltg.glu0.190 -0.165

##Comp 50 Comp 51 Comp 52 Comp 53 Comp 54 Comp 55 Comp 56 Comp 57

## x2.age 0.121 0.227

## x2.sex -0.2700.129 0.183 -0.156 0.442 -0.119

## x2.bmi 0.356 -0.2000.648 -0.358 0.945 -0.255

## x2.map 0.156 0.132 -0.157 -0.297 0.232 -0.525 0.139

## x2.tc -0.101 0.1610.1590.119

## x2.ldl 0.2550.347

## x2.hdl -0.115 -0.199 0.238 0.172 -0.154 0.737-0.615

## x2.tch -0.1350.137 -0.366 0.330 -0.923

## x2.ltg -0.708 0.117 0.284 -0.241-0.3060.146

## x2.glu 0.385 -0.315 0.126 -0.164

## x2.age.2 -0.410 0.280-0.318 0.161 -0.183

## x2.bmi.2-0.105 0.150 -0.140 0.100 -0.892 0.259

## x2.map.2 0.122

## x2.tc.2 0.128

## x2.ldl.2 -0.167

## x2.hdl.2-0.1240.229-0.882 0.206

## x2.tch.20.2490.221 -0.240 0.721 -0.302

## x2.ltg.2 0.288 -0.225-0.267 0.203 0.281 -0.152

## x2.glu.2 -0.239 0.157-0.926 0.389 0.904 -0.303

## x2.age.sex 0.371 -0.417 0.253 -0.189-0.220

## x2.age.bmi 0.352 -0.258 0.131 -0.121-0.597 0.198

## x2.age.map 0.223 -0.184 0.181 0.220 -0.163 0.352 -0.103

## x2.age.tc 0.160-0.139

## x2.age.ldl-0.196 0.1170.111 -0.2470.233

## x2.age.hdl 0.467 -0.196 -0.1950.108

## x2.age.tch -0.123 0.244-0.230 -0.2350.168 -0.179

## x2.age.ltg -0.175-0.199 0.1220.619 -0.215

## x2.age.glu 0.328-0.283 0.460 -0.172 0.143

## x2.sex.bmi -0.715 0.330 -0.208 0.638 -0.287

## x2.sex.map 0.534 -0.273-0.1040.133

## x2.sex.tc0.220 -0.191 0.237-0.151-0.206

## x2.sex.ldl 0.198-0.165 0.131

## x2.sex.hdl -0.286 0.252 -0.298 0.344 -0.118 -0.1120.126

## x2.sex.tch 0.116 -0.158-0.1710.472 -0.134

## x2.sex.ltg -0.387 0.156-0.271 0.138 -0.438 0.123

## x2.sex.glu 0.286

## x2.bmi.map 0.164 -0.291 0.233 0.135 -0.133 0.719 -0.225

## x2.bmi.tc 0.3530.304 -0.102 -0.140-0.128

## x2.bmi.ldl 0.134-0.1330.1300.115

## x2.bmi.hdl 0.405 -0.3720.547 -0.207 -0.133

## x2.bmi.tch -0.251 0.259 -0.2330.676 -0.213

## x2.bmi.ltg 0.244 -0.361 0.164

## x2.bmi.glu-0.107 0.101 -0.304 0.140 0.413 -0.147

## x2.map.tc -0.161 -0.119 -0.106

## x2.map.ldl -0.1890.124 -0.143 -0.119 0.113

## x2.map.hdl -0.1980.1200.173 -0.144 0.150

## x2.map.tch 0.4960.119 -0.180 0.179

## x2.map.ltg 0.235-0.193 -0.420 0.225 -0.500 0.163

## x2.map.glu -0.140 0.261 -0.317 0.252-0.476 0.150

## x2.tc.ldl -0.100

## x2.tc.hdl 0.127-0.238 0.261-0.173

## x2.tc.tch 0.146

## x2.tc.ltg -0.162

## x2.tc.glu0.222 -0.103-0.153

## x2.ldl.hdl 0.135 0.210 -0.175 0.1030.481 -0.140

## x2.ldl.tch

## x2.ldl.ltg 0.1010.150-0.496

## x2.ldl.glu 0.209 -0.137-0.493 0.1440.168

## x2.hdl.tch-0.102-0.226

## x2.hdl.ltg -0.216 0.2190.112 -0.165 0.2950.107

## x2.hdl.glu -0.235 0.518 -0.174

## x2.tch.ltg -0.140 0.2960.230

## x2.tch.glu-0.1560.4280.205

## x2.ltg.glu -0.3670.228 0.796 -0.462 -0.857 0.291

##Comp 58 Comp 59 Comp 60 Comp 61 Comp 62 Comp 63 Comp 64

## x2.age

## x2.sex

## x2.bmi

## x2.map

## x2.tc -0.682

## x2.ldl -0.162 0.599

## x2.hdl 0.272 0.255

## x2.tch 0.421

## x2.ltg 0.224

## x2.glu

## x2.age.2

## x2.bmi.2

## x2.map.2

## x2.tc.2 -0.1620.690 -0.346 0.120 0.156

## x2.ldl.20.299 -0.693 0.379-0.132

## x2.hdl.2 0.309 -0.356 -0.160

## x2.tch.2 0.280 -0.121 0.225 0.143

## x2.ltg.2-0.174 0.245

## x2.glu.2

## x2.age.sex

## x2.age.bmi

## x2.age.map

## x2.age.tc -0.800 0.3270.351

## x2.age.ldl 0.650 -0.272-0.283

## x2.age.hdl 0.321 -0.131-0.135

## x2.age.tch

## x2.age.ltg 0.303 -0.129-0.121

## x2.age.glu

## x2.sex.bmi

## x2.sex.map

## x2.sex.tc 0.198 0.223 -0.119 -0.384

## x2.sex.ldl -0.130 -0.166 0.1140.281

## x2.sex.hdl -0.102 -0.101 0.165

## x2.sex.tch

## x2.sex.ltg 0.126

## x2.sex.glu

## x2.bmi.map

## x2.bmi.tc 0.2210.844 -0.4190.198

## x2.bmi.ldl -0.200-0.672 0.324-0.183

## x2.bmi.hdl -0.383 0.191

## x2.bmi.tch -0.132

## x2.bmi.ltg -0.103-0.302 0.146

## x2.bmi.glu

## x2.map.tc -0.171 0.2240.112 -0.409 0.169

## x2.map.ldl 0.166 -0.1920.331 -0.141

## x2.map.hdl 0.176

## x2.map.tch

## x2.map.ltg 0.165

## x2.map.glu

## x2.tc.ldl-0.311 0.130 -0.1540.110

## x2.tc.hdl -0.355 0.532 -0.1070.181

## x2.tc.tch-0.570 0.318 0.165

## x2.tc.ltg 0.169 0.241 -0.520 0.1500.147

## x2.tc.glu-0.126 0.196 -0.205 0.436 -0.294

## x2.ldl.hdl 0.317 -0.435 -0.171 0.262 -0.279 -0.163

## x2.ldl.tch -0.223 0.468 -0.254-0.126 -0.147

## x2.ldl.ltg-0.220 0.117 -0.123

## x2.ldl.glu0.114 -0.166 0.164 -0.351 0.248

## x2.hdl.tch 0.304 0.216 -0.265 -0.126 0.236 0.190

## x2.hdl.ltg -0.100 -0.168

## x2.hdl.glu -0.200 0.132

## x2.tch.ltg -0.365 0.344 -0.120

## x2.tch.glu

## x2.ltg.glu -0.130 0.102 -0.178 0.126

##

## Comp 1 Comp 2 Comp 3 Comp 4 Comp 5 Comp 6 Comp 7 Comp 8

## SS loadings 1.142 1.612 1.371 1.378 1.516 1.494 1.476 1.494

## Proportion Var 0.018 0.025 0.021 0.022 0.024 0.023 0.023 0.023

## Cumulative Var 0.018 0.043 0.064 0.086 0.110 0.133 0.156 0.179

## Comp 9 Comp 10 Comp 11 Comp 12 Comp 13 Comp 14 Comp 15

## SS loadings 1.938 1.890 2.152 1.847 1.693 1.667 1.487

## Proportion Var 0.030 0.030 0.034 0.029 0.026 0.026 0.023

## Cumulative Var 0.210 0.239 0.273 0.302 0.328 0.354 0.377

## Comp 16 Comp 17 Comp 18 Comp 19 Comp 20 Comp 21 Comp 22

## SS loadings 2.532 2.056 1.854 1.690 1.633 1.785 1.905

## Proportion Var 0.040 0.032 0.029 0.026 0.026 0.028 0.030

## Cumulative Var 0.417 0.449 0.478 0.504 0.530 0.558 0.588

## Comp 23 Comp 24 Comp 25 Comp 26 Comp 27 Comp 28 Comp 29

## SS loadings 2.101 1.579 1.442 2.058 2.157 1.936 2.010

## Proportion Var 0.033 0.025 0.023 0.032 0.034 0.030 0.031

## Cumulative Var 0.620 0.645 0.668 0.700 0.734 0.764 0.795

## Comp 30 Comp 31 Comp 32 Comp 33 Comp 34 Comp 35 Comp 36

## SS loadings 1.730 1.614 1.865 2.170 2.286 1.477 1.672

## Proportion Var 0.027 0.025 0.029 0.034 0.036 0.023 0.026

## Cumulative Var 0.822 0.847 0.877 0.911 0.946 0.969 0.995

## Comp 37 Comp 38 Comp 39 Comp 40 Comp 41 Comp 42 Comp 43

## SS loadings 2.145 1.823 1.736 2.173 1.608 1.664 4.401

## Proportion Var 0.034 0.028 0.027 0.034 0.025 0.026 0.069

## Cumulative Var 1.029 1.057 1.085 1.119 1.144 1.170 1.238

## Comp 44 Comp 45 Comp 46 Comp 47 Comp 48 Comp 49 Comp 50

## SS loadings 1.450 1.796 1.907 2.436 1.267 2.017 4.171

## Proportion Var 0.023 0.028 0.030 0.038 0.020 0.032 0.065

## Cumulative Var 1.261 1.289 1.319 1.357 1.377 1.408 1.473

## Comp 51 Comp 52 Comp 53 Comp 54 Comp 55 Comp 56 Comp 57

## SS loadings 1.805 1.278 5.221 1.332 10.436 1.160 1.863

## Proportion Var 0.028 0.020 0.082 0.021 0.163 0.018 0.029

## Cumulative Var 1.502 1.522 1.603 1.624 1.787 1.805 1.834

## Comp 58 Comp 59 Comp 60 Comp 61 Comp 62 Comp 63 Comp 64

## SS loadings 1.302 1.919 4.460 1.134 1.033 1.000 1.000

## Proportion Var 0.020 0.030 0.070 0.018 0.016 0.016 0.016

## Cumulative Var 1.855 1.885 1.954 1.972 1.988 2.004 2.019

ap$coefficients #看各因子做为原变量的线性组合的系数

## , , 1 comps

##

##y

## x2.age 70.970

## x2.sex 16.265

## x2.bmi 221.515

## x2.map 166.758

## x2.tc 80.085

## x2.ldl 65.744

## x2.hdl -149.120

## x2.tch 162.591

## x2.ltg 213.746

## x2.glu 144.472

## x2.age.2 -4.949

## x2.bmi.2 95.428

## x2.map.2 60.310

## x2.tc.2 10.048

## x2.ldl.2 1.455

## x2.hdl.2 -43.919

## x2.tch.2 42.131

## x2.ltg.2 30.066

## x2.glu.2 51.194

## x2.age.sex 21.518

## x2.age.bmi -17.727

## x2.age.map 27.034

## x2.age.tc -41.544

## x2.age.ldl -57.509

## x2.age.hdl -17.895

## x2.age.tch -6.323

## x2.age.ltg 17.760

## x2.age.glu 17.415

## x2.sex.bmi 17.194

## x2.sex.map 21.751

## x2.sex.tc 6.019

## x2.sex.ldl -14.432

## x2.sex.hdl 33.009

## x2.sex.tch -6.962

## x2.sex.ltg 12.135

## x2.sex.glu 14.007

## x2.bmi.map 55.568

## x2.bmi.tc -25.317

## x2.bmi.ldl -42.072

## x2.bmi.hdl -19.927

## x2.bmi.tch 22.773

## x2.bmi.ltg 37.277

## x2.bmi.glu 58.842

## x2.map.tc -4.139

## x2.map.ldl -31.614

## x2.map.hdl 5.834

## x2.map.tch -1.351

## x2.map.ltg 37.559

## x2.map.glu 30.053

## x2.tc.ldl 2.536

## x2.tc.hdl -9.749

## x2.tc.tch 14.740

## x2.tc.ltg 8.077

## x2.tc.glu 13.810

## x2.ldl.hdl 33.794

## x2.ldl.tch -6.686

## x2.ldl.ltg -36.717

## x2.ldl.glu -6.405

## x2.hdl.tch -1.395

## x2.hdl.ltg -5.490

## x2.hdl.glu -33.142

## x2.tch.ltg 27.908

## x2.tch.glu 51.993

## x2.ltg.glu 46.621

##

## , , 2 comps

##

##y

## x2.age 73.1877

## x2.sex -19.9735

## x2.bmi 285.9832

## x2.map 210.1086

## x2.tc 60.1706

## x2.ldl 39.7667

## x2.hdl -172.6798

## x2.tch 162.1865

## x2.ltg 262.4734

## x2.glu 153.5403

## x2.age.2 17.0301

## x2.bmi.2 119.9397

## x2.map.2 68.5463

## x2.tc.2 1.6132

## x2.ldl.2 -16.1122

## x2.hdl.2 -54.1696

## x2.tch.2 17.6878

## x2.ltg.2 0.9087

## x2.glu.2 39.5885

## x2.age.sex 47.1071

## x2.age.bmi -15.0519

## x2.age.map 50.2229

## x2.age.tc -34.0382

## x2.age.ldl -57.7949

## x2.age.hdl -8.7369

## x2.age.tch -4.7595

## x2.age.ltg 32.0278

## x2.age.glu 29.0733

## x2.sex.bmi 13.4315

## x2.sex.map 23.1276

## x2.sex.tc 1.8588

## x2.sex.ldl -23.1169

## x2.sex.hdl 48.7351

## x2.sex.tch -19.5600

## x2.sex.ltg 6.0899

## x2.sex.glu 6.2491

## x2.bmi.map 68.6948

## x2.bmi.tc -43.6369

## x2.bmi.ldl -57.1368

## x2.bmi.hdl -9.8037

## x2.bmi.tch 3.6258

## x2.bmi.ltg 19.9363

## x2.bmi.glu 50.0638

## x2.map.tc -1.9400

## x2.map.ldl -33.0158

## x2.map.hdl 31.8653

## x2.map.tch -25.0890

## x2.map.ltg 24.4288

## x2.map.glu 13.0563

## x2.tc.ldl -9.2472

## x2.tc.hdl 14.6036

## x2.tc.tch -13.1920

## x2.tc.ltg -10.1837

## x2.tc.glu -2.1826

## x2.ldl.hdl 51.9416

## x2.ldl.tch -27.2238

## x2.ldl.ltg -49.0814

## x2.ldl.glu -18.5599

## x2.hdl.tch 18.8576

## x2.hdl.ltg 28.7738

## x2.hdl.glu -10.1079

## x2.tch.ltg -9.2697

## x2.tch.glu 31.3118

## x2.ltg.glu 19.9768

##

## , , 3 comps

##

## y

## x2.age 48.66485

## x2.sex -116.73114

## x2.bmi 384.52002

## x2.map 266.89437

## x2.tc8.90608

## x2.ldl -31.64805

## x2.hdl -188.67033

## x2.tch 142.89327

## x2.ltg 338.31468

## x2.glu 143.24876

## x2.age.2 72.18103

## x2.bmi.2 163.51783

## x2.map.2 75.03758

## x2.tc.2 21.81788

## x2.ldl.2 -7.25455

## x2.hdl.2 -44.47438

## x2.tch.2 22.30543

## x2.ltg.2 -40.48111

## x2.glu.2 36.06031

## x2.age.sex 104.15061

## x2.age.bmi 1.35287

## x2.age.map 97.35855

## x2.age.tc 0.05722

## x2.age.ldl -41.30101

## x2.age.hdl 11.30616

## x2.age.tch 13.33491

## x2.age.ltg 73.53093

## x2.age.glu 63.24413

## x2.sex.bmi 29.59328

## x2.sex.map 41.74625

## x2.sex.tc 26.41417

## x2.sex.ldl -6.04238

## x2.sex.hdl 61.49847

## x2.sex.tch -12.82535

## x2.sex.ltg 17.16701

## x2.sex.glu 9.61965

## x2.bmi.map 100.37114

## x2.bmi.tc -29.91948

## x2.bmi.ldl -28.00075

## x2.bmi.hdl -13.99637

## x2.bmi.tch 12.55378

## x2.bmi.ltg 10.15731

## x2.bmi.glu 51.94641

## x2.map.tc 35.62251

## x2.map.ldl 4.95810

## x2.map.hdl 63.07923

## x2.map.tch -35.42668

## x2.map.ltg 16.83048

## x2.map.glu -14.40677

## x2.tc.ldl 9.54111

## x2.tc.hdl 22.16827

## x2.tc.tch -14.26773

## x2.tc.ltg -2.61501

## x2.tc.glu 10.84986

## x2.ldl.hdl 31.14324

## x2.ldl.tch -8.63276

## x2.ldl.ltg -10.77590

## x2.ldl.glu 7.55718

## x2.hdl.tch 11.11982

## x2.hdl.ltg 64.27568

## x2.hdl.glu 9.72521

## x2.tch.ltg -36.96230

## x2.tch.glu 34.90401

## x2.ltg.glu -7.71895

##

## , , 4 comps

##

##y

## x2.age 46.8102

## x2.sex -195.8133

## x2.bmi 451.3854

## x2.map 303.4630

## x2.tc -17.9455

## x2.ldl -82.9932

## x2.hdl -182.7810

## x2.tch 131.7593

## x2.ltg 403.4039

## x2.glu 128.7519

## x2.age.2 73.8319

## x2.bmi.2 157.0704

## x2.map.2 43.7275

## x2.tc.2 22.5848

## x2.ldl.2 -12.5867

## x2.hdl.2 2.8218

## x2.tch.2 45.5075

## x2.ltg.2 -62.7363

## x2.glu.2 37.2933

## x2.age.sex 128.9142

## x2.age.bmi -25.6956

## x2.age.map 81.7790

## x2.age.tc -18.5794

## x2.age.ldl -76.2736

## x2.age.hdl 49.7601

## x2.age.tch -13.7432

## x2.age.ltg 71.1013

## x2.age.glu 52.4850

## x2.sex.bmi 38.5838

## x2.sex.map 53.9229

## x2.sex.tc 25.1857

## x2.sex.ldl -10.2780

## x2.sex.hdl 56.2221

## x2.sex.tch -10.9587

## x2.sex.ltg 22.1523

## x2.sex.glu 9.2491

## x2.bmi.map 99.9198

## x2.bmi.tc -36.3909

## x2.bmi.ldl -17.3322

## x2.bmi.hdl -25.3136

## x2.bmi.tch 12.1582

## x2.bmi.ltg -7.1765

## x2.bmi.glu 34.3315

## x2.map.tc 39.8010

## x2.map.ldl 17.7191

## x2.map.hdl 70.5389

## x2.map.tch -45.1847

## x2.map.ltg 0.2519

## x2.map.glu -60.6901

## x2.tc.ldl 9.5933

## x2.tc.hdl 28.8212

## x2.tc.tch -27.7142

## x2.tc.ltg -4.7397

## x2.tc.glu 6.6379

## x2.ldl.hdl -2.5317

## x2.ldl.tch 3.0066

## x2.ldl.ltg 22.6919

## x2.ldl.glu 17.8194

## x2.hdl.tch -37.1913

## x2.hdl.ltg 58.0959

## x2.hdl.glu 10.0507

## x2.tch.ltg -41.4807

## x2.tch.glu 43.2836

## x2.ltg.glu -27.7453

##

## , , 5 comps

##

##y

## x2.age 47.8163

## x2.sex -247.1510

## x2.bmi 479.5244

## x2.map 322.4541

## x2.tc -45.9116

## x2.ldl -127.8845

## x2.hdl -191.1120

## x2.tch 124.3898

## x2.ltg 454.2890

## x2.glu 103.2563

## x2.age.2 78.3048

## x2.bmi.2 111.8747

## x2.map.2 0.9135

## x2.tc.2 16.8170

## x2.ldl.2 -35.5475

## x2.hdl.2 15.6303

## x2.tch.2 46.7284

## x2.ltg.2 -52.7439

## x2.glu.2 72.8834

## x2.age.sex 148.7370

## x2.age.bmi -29.4805

## x2.age.map 60.1056

## x2.age.tc -19.8170

## x2.age.ldl -91.2602

## x2.age.hdl 59.3962

## x2.age.tch -7.0583

## x2.age.ltg 95.3666

## x2.age.glu 61.0324

## x2.sex.bmi 45.3430

## x2.sex.map 70.6391

## x2.sex.tc 6.6667

## x2.sex.ldl -39.1359

## x2.sex.hdl 68.5044

## x2.sex.tch -32.3562

## x2.sex.ltg 14.9979

## x2.sex.glu 16.9026

## x2.bmi.map 112.0184

## x2.bmi.tc -38.0862

## x2.bmi.ldl -20.8409

## x2.bmi.hdl -1.4570

## x2.bmi.tch -10.2428

## x2.bmi.ltg -10.9498

## x2.bmi.glu 29.9939

## x2.map.tc 47.6870

## x2.map.ldl 34.4644

## x2.map.hdl 49.3445

## x2.map.tch -30.2316

## x2.map.ltg 14.0853

## x2.map.glu -79.0624

## x2.tc.ldl -0.3455

## x2.tc.hdl 37.9634

## x2.tc.tch -54.0633

## x2.tc.ltg 5.1250

## x2.tc.glu 13.9320

## x2.ldl.hdl -5.5101

## x2.ldl.tch -12.4888

## x2.ldl.ltg 59.3589

## x2.ldl.glu 26.7681

## x2.hdl.tch -54.6767

## x2.hdl.ltg 43.6535

## x2.hdl.glu 2.5548

## x2.tch.ltg -36.3170

## x2.tch.glu 64.3277

## x2.ltg.glu -9.0974

##

## , , 6 comps

##

##y

## x2.age 50.688

## x2.sex -255.271

## x2.bmi 489.276

## x2.map 330.814

## x2.tc -46.692

## x2.ldl -127.713

## x2.hdl -205.370

## x2.tch 133.203

## x2.ltg 480.816

## x2.glu 89.899

## x2.age.2 77.773

## x2.bmi.2 77.026

## x2.map.2 -27.709

## x2.tc.2 27.062

## x2.ldl.2 -30.103

## x2.hdl.2 9.168

## x2.tch.2 46.142

## x2.ltg.2 -58.591

## x2.glu.2 87.372

## x2.age.sex 158.381

## x2.age.bmi -30.225

## x2.age.map 36.731

## x2.age.tc -18.820

## x2.age.ldl -92.540

## x2.age.hdl 65.774

## x2.age.tch -2.694

## x2.age.ltg 99.832

## x2.age.glu 55.435

## x2.sex.bmi 55.110

## x2.sex.map 81.108

## x2.sex.tc 5.653

## x2.sex.ldl -45.364

## x2.sex.hdl 78.645

## x2.sex.tch -40.771

## x2.sex.ltg 8.142

## x2.sex.glu 21.199

## x2.bmi.map 121.543

## x2.bmi.tc -31.243

## x2.bmi.ldl -16.482

## x2.bmi.hdl 23.795

## x2.bmi.tch -25.987

## x2.bmi.ltg -11.856

## x2.bmi.glu 23.937

## x2.map.tc 46.453

## x2.map.ldl 43.117

## x2.map.hdl 39.532

## x2.map.tch -29.084

## x2.map.ltg 12.752

## x2.map.glu -98.769

## x2.tc.ldl 13.771

## x2.tc.hdl 39.759

## x2.tc.tch -62.577

## x2.tc.ltg 7.852

## x2.tc.glu 15.302

## x2.ldl.hdl -10.696

## x2.ldl.tch -7.726

## x2.ldl.ltg 91.470

## x2.ldl.glu 32.032

## x2.hdl.tch -55.234

## x2.hdl.ltg 47.669

## x2.hdl.glu 14.432

## x2.tch.ltg -47.948

## x2.tch.glu 64.443

## x2.ltg.glu -10.113

##

## , , 7 comps

##

##y

## x2.age 51.352

## x2.sex -252.878

## x2.bmi 495.366

## x2.map 337.611

## x2.tc -48.996

## x2.ldl -125.127

## x2.hdl -214.221

## x2.tch 139.664

## x2.ltg 499.794

## x2.glu 74.197

## x2.age.2 76.843

## x2.bmi.2 52.363

## x2.map.2 -47.027

## x2.tc.2 21.223

## x2.ldl.2 -31.224

## x2.hdl.2 13.415

## x2.tch.2 42.498

## x2.ltg.2 -68.619

## x2.glu.2 107.235

## x2.age.sex 170.466

## x2.age.bmi -17.065

## x2.age.map 15.826

## x2.age.tc -18.273

## x2.age.ldl -90.981

## x2.age.hdl 68.731

## x2.age.tch 8.704

## x2.age.ltg 102.915

## x2.age.glu 48.676

## x2.sex.bmi 86.792

## x2.sex.map 99.603

## x2.sex.tc 12.506

## x2.sex.ldl -44.242

## x2.sex.hdl 80.230

## x2.sex.tch -38.372

## x2.sex.ltg 6.678

## x2.sex.glu 34.384

## x2.bmi.map 155.530

## x2.bmi.tc -27.290

## x2.bmi.ldl -12.202

## x2.bmi.hdl 29.510

## x2.bmi.tch -27.322

## x2.bmi.ltg 9.076

## x2.bmi.glu 30.157

## x2.map.tc 36.178

## x2.map.ldl 47.446

## x2.map.hdl 19.902

## x2.map.tch -28.862

## x2.map.ltg 17.093

## x2.map.glu -115.255

## x2.tc.ldl 19.999

## x2.tc.hdl 42.680

## x2.tc.tch -91.310

## x2.tc.ltg -14.387

## x2.tc.glu 4.015

## x2.ldl.hdl -24.837

## x2.ldl.tch -9.105

## x2.ldl.ltg 120.759

## x2.ldl.glu 26.294

## x2.hdl.tch -67.223

## x2.hdl.ltg 40.473

## x2.hdl.glu 30.444

## x2.tch.ltg -71.891

## x2.tch.glu 57.798

## x2.ltg.glu -9.566

##

## , , 8 comps

##

##y

## x2.age 47.503

## x2.sex -251.751

## x2.bmi 499.941

## x2.map 340.813

## x2.tc -49.060

## x2.ldl -120.318

## x2.hdl -217.817

## x2.tch 144.108

## x2.ltg 507.844

## x2.glu 66.455

## x2.age.2 79.362

## x2.bmi.2 40.431

## x2.map.2 -50.798

## x2.tc.2 15.062

## x2.ldl.2 -29.452

## x2.hdl.2 16.100

## x2.tch.2 43.893

## x2.ltg.2 -61.323

## x2.glu.2 122.682

## x2.age.sex 165.687

## x2.age.bmi -9.289

## x2.age.map 10.673

## x2.age.tc -12.155

## x2.age.ldl -87.809

## x2.age.hdl 81.146

## x2.age.tch 17.766

## x2.age.ltg 107.996

## x2.age.glu 45.715

## x2.sex.bmi 91.368

## x2.sex.map 90.925

## x2.sex.tc 12.736

## x2.sex.ldl -50.713

## x2.sex.hdl 95.696

## x2.sex.tch -50.297

## x2.sex.ltg -11.826

## x2.sex.glu 29.682

## x2.bmi.map 173.028

## x2.bmi.tc -23.695

## x2.bmi.ldl -5.630

## x2.bmi.hdl 29.695

## x2.bmi.tch -22.112

## x2.bmi.ltg 31.571

## x2.bmi.glu 33.703

## x2.map.tc 30.456

## x2.map.ldl 46.625

## x2.map.hdl 23.306

## x2.map.tch -43.875

## x2.map.ltg 20.628

## x2.map.glu -129.710

## x2.tc.ldl 27.130

## x2.tc.hdl 38.809

## x2.tc.tch -114.382

## x2.tc.ltg -33.671

## x2.tc.glu -1.357

## x2.ldl.hdl -41.940

## x2.ldl.tch -7.854

## x2.ldl.ltg 146.597

## x2.ldl.glu 23.806

## x2.hdl.tch -80.539

## x2.hdl.ltg 27.722

## x2.hdl.glu 47.319

## x2.tch.ltg -87.737

## x2.tch.glu 56.382

## x2.ltg.glu -1.087

##

## , , 9 comps

##

##y

## x2.age 40.267

## x2.sex -250.227

## x2.bmi 505.317

## x2.map 343.762

## x2.tc -50.512

## x2.ldl -113.002

## x2.hdl -221.492

## x2.tch 146.097

## x2.ltg 509.666

## x2.glu 58.391

## x2.age.2 81.757

## x2.bmi.2 23.764

## x2.map.2 -37.500

## x2.tc.2 10.529

## x2.ldl.2 -22.584

## x2.hdl.2 9.708

## x2.tch.2 45.464

## x2.ltg.2 -37.878

## x2.glu.2 139.460

## x2.age.sex 169.988

## x2.age.bmi -18.046

## x2.age.map 17.096

## x2.age.tc -11.481

## x2.age.ldl -90.875

## x2.age.hdl 97.768

## x2.age.tch 30.746

## x2.age.ltg 109.040

## x2.age.glu 42.648

## x2.sex.bmi 91.232

## x2.sex.map 81.653

## x2.sex.tc 31.620

## x2.sex.ldl -45.888

## x2.sex.hdl 105.028

## x2.sex.tch -43.660

## x2.sex.ltg -16.788

## x2.sex.glu 37.527

## x2.bmi.map 180.629

## x2.bmi.tc -41.984

## x2.bmi.ldl -11.668

## x2.bmi.hdl 36.527

## x2.bmi.tch -29.915

## x2.bmi.ltg 37.375

## x2.bmi.glu 20.689

## x2.map.tc 34.163

## x2.map.ldl 56.296

## x2.map.hdl 29.133

## x2.map.tch -55.817

## x2.map.ltg 32.468

## x2.map.glu -139.312

## x2.tc.ldl 42.568

## x2.tc.hdl 33.482

## x2.tc.tch -145.650

## x2.tc.ltg -64.992

## x2.tc.glu -6.946

## x2.ldl.hdl -58.774

## x2.ldl.tch -8.294

## x2.ldl.ltg 176.765

## x2.ldl.glu 23.137

## x2.hdl.tch -90.936

## x2.hdl.ltg 7.473

## x2.hdl.glu 67.621

## x2.tch.ltg -108.285

## x2.tch.glu 64.011

## x2.ltg.glu 17.338

##

## , , 10 comps

##

##y

## x2.age 29.3683

## x2.sex -248.6823

## x2.bmi 513.8611

## x2.map 337.1125

## x2.tc -61.0055

## x2.ldl -109.1354

## x2.hdl -228.3372

## x2.tch 143.0586

## x2.ltg 507.6117

## x2.glu 52.7568

## x2.age.2 85.2980

## x2.bmi.2 23.6785

## x2.map.2 -24.2530

## x2.tc.2 23.4674

## x2.ldl.2 -5.6969

## x2.hdl.2 -6.9714

## x2.tch.2 46.3743

## x2.ltg.2 -0.1838

## x2.glu.2 147.2373

## x2.age.sex 178.2308

## x2.age.bmi -27.7744

## x2.age.map 27.9739

## x2.age.tc -24.3090

## x2.age.ldl -102.9269

## x2.age.hdl 110.4360

## x2.age.tch 54.4308

## x2.age.ltg 103.3478

## x2.age.glu 36.8410

## x2.sex.bmi 94.5132

## x2.sex.map 77.8035

## x2.sex.tc 33.5244

## x2.sex.ldl -66.4203

## x2.sex.hdl 104.6109

## x2.sex.tch -39.0688

## x2.sex.ltg -22.9982

## x2.sex.glu 46.8234

## x2.bmi.map 184.6738

## x2.bmi.tc -67.2538

## x2.bmi.ldl -5.1000

## x2.bmi.hdl 32.0818

## x2.bmi.tch -21.4576

## x2.bmi.ltg 38.8207

## x2.bmi.glu 7.5266

## x2.map.tc 22.0805

## x2.map.ldl 62.8612

## x2.map.hdl 22.3582

## x2.map.tch -66.8407

## x2.map.ltg 37.0616

## x2.map.glu -154.8341

## x2.tc.ldl 79.6980

## x2.tc.hdl 43.8938

## x2.tc.tch -187.0720

## x2.tc.ltg -104.9128

## x2.tc.glu -17.6580

## x2.ldl.hdl -62.3798

## x2.ldl.tch -10.9738

## x2.ldl.ltg 226.7348

## x2.ldl.glu 25.5502

## x2.hdl.tch -91.3760

## x2.hdl.ltg -12.9171

## x2.hdl.glu 90.4327

## x2.tch.ltg -135.8863

## x2.tch.glu 86.2587

## x2.ltg.glu 41.4346

##

## , , 11 comps

##

##y

## x2.age 32.454

## x2.sex -247.968

## x2.bmi 509.498

## x2.map 332.215

## x2.tc -71.270

## x2.ldl -100.887

## x2.hdl -241.671

## x2.tch 143.548

## x2.ltg 523.744

## x2.glu 65.893

## x2.age.2 92.156

## x2.bmi.2 26.439

## x2.map.2 -20.429

## x2.tc.2 14.445

## x2.ldl.2 -6.184

## x2.hdl.2 -51.102

## x2.tch.2 57.423

## x2.ltg.2 61.671

## x2.glu.2 138.041

## x2.age.sex 178.075

## x2.age.bmi -30.530

## x2.age.map 42.445

## x2.age.tc -39.889

## x2.age.ldl -115.515

## x2.age.hdl 133.661

## x2.age.tch 103.461

## x2.age.ltg 88.230

## x2.age.glu 37.428

## x2.sex.bmi 92.253

## x2.sex.map 72.322

## x2.sex.tc 42.216

## x2.sex.ldl -96.189

## x2.sex.hdl 93.964

## x2.sex.tch -20.086

## x2.sex.ltg -31.665

## x2.sex.glu 48.036

## x2.bmi.map 170.884

## x2.bmi.tc -88.966

## x2.bmi.ldl 38.628

## x2.bmi.hdl 37.701

## x2.bmi.tch 3.819

## x2.bmi.ltg 15.499

## x2.bmi.glu -3.309

## x2.map.tc 15.694

## x2.map.ldl 92.362

## x2.map.hdl 9.971

## x2.map.tch -63.951

## x2.map.ltg 31.803

## x2.map.glu -170.346

## x2.tc.ldl 110.509

## x2.tc.hdl 35.290

## x2.tc.tch -255.488

## x2.tc.ltg -170.720

## x2.tc.glu -55.422

## x2.ldl.hdl -89.672

## x2.ldl.tch -20.724

## x2.ldl.ltg 303.783

## x2.ldl.glu 19.093

## x2.hdl.tch -90.214

## x2.hdl.ltg -30.532

## x2.hdl.glu 119.565

## x2.tch.ltg -177.923

## x2.tch.glu 129.784

## x2.ltg.glu 65.536

##

## , , 12 comps

##

##y

## x2.age 43.886

## x2.sex -258.141

## x2.bmi 492.450

## x2.map 337.385

## x2.tc -71.809

## x2.ldl -99.760

## x2.hdl -232.011

## x2.tch 129.529

## x2.ltg 549.403

## x2.glu 73.910

## x2.age.2 84.048

## x2.bmi.2 32.313

## x2.map.2 -12.713

## x2.tc.2 15.225

## x2.ldl.2 -3.634

## x2.hdl.2 -80.934

## x2.tch.2 67.333

## x2.ltg.2 114.745

## x2.glu.2 136.611

## x2.age.sex 162.611

## x2.age.bmi -25.665

## x2.age.map 41.582

## x2.age.tc -46.520

## x2.age.ldl -127.892

## x2.age.hdl 172.125

## x2.age.tch 134.044

## x2.age.ltg 77.547

## x2.age.glu 41.077

## x2.sex.bmi 93.165

## x2.sex.map 72.041

## x2.sex.tc 57.813

## x2.sex.ldl -113.905

## x2.sex.hdl 83.181

## x2.sex.tch -5.036

## x2.sex.ltg -36.742

## x2.sex.glu 52.400

## x2.bmi.map 169.619

## x2.bmi.tc -109.951

## x2.bmi.ldl 68.412

## x2.bmi.hdl 48.932

## x2.bmi.tch 14.646

## x2.bmi.ltg -4.393

## x2.bmi.glu 11.657

## x2.map.tc 1.597

## x2.map.ldl 100.066

## x2.map.hdl 8.418

## x2.map.tch -67.622

## x2.map.ltg 25.081

## x2.map.glu -159.412

## x2.tc.ldl 138.622

## x2.tc.hdl 39.044

## x2.tc.tch -302.886

## x2.tc.ltg -219.221

## x2.tc.glu -78.311

## x2.ldl.hdl -106.914

## x2.ldl.tch -26.198

## x2.ldl.ltg 358.547

## x2.ldl.glu 20.340

## x2.hdl.tch -81.943

## x2.hdl.ltg -26.747

## x2.hdl.glu 143.880

## x2.tch.ltg -214.394

## x2.tch.glu 169.516

## x2.ltg.glu 86.705

##

## , , 13 comps

##

##y

## x2.age 49.8825

## x2.sex -262.2044

## x2.bmi 472.2613

## x2.map 342.6667

## x2.tc -73.2754

## x2.ldl -103.8668

## x2.hdl -224.6329

## x2.tch 120.7444

## x2.ltg 576.7355

## x2.glu 74.2959

## x2.age.2 79.8420

## x2.bmi.2 38.8328

## x2.map.2 -13.3926

## x2.tc.2 16.8284

## x2.ldl.2 0.0773

## x2.hdl.2 -98.2659

## x2.tch.2 91.1254

## x2.ltg.2 163.9417

## x2.glu.2 118.5798

## x2.age.sex 159.2063

## x2.age.bmi -15.4137

## x2.age.map 38.3081

## x2.age.tc -50.4971

## x2.age.ldl -137.4402

## x2.age.hdl 189.2192

## x2.age.tch 171.1289

## x2.age.ltg 80.4253

## x2.age.glu 47.5284

## x2.sex.bmi 86.2380

## x2.sex.map 77.5191

## x2.sex.tc 77.3868

## x2.sex.ldl -122.8470

## x2.sex.hdl 79.3589

## x2.sex.tch 1.3602

## x2.sex.ltg -44.9194

## x2.sex.glu 48.0835

## x2.bmi.map 170.1266

## x2.bmi.tc -138.5483

## x2.bmi.ldl 77.7600

## x2.bmi.hdl 56.9835

## x2.bmi.tch 16.8922

## x2.bmi.ltg -16.2621

## x2.bmi.glu 21.0531

## x2.map.tc -16.5904

## x2.map.ldl 95.3747

## x2.map.hdl 3.8682

## x2.map.tch -66.0219

## x2.map.ltg 19.1583

## x2.map.glu -155.5917

## x2.tc.ldl 161.2606

## x2.tc.hdl 41.2546

## x2.tc.tch -327.8254

## x2.tc.ltg -260.1918

## x2.tc.glu -99.9974

## x2.ldl.hdl -121.1120

## x2.ldl.tch -24.4118

## x2.ldl.ltg 393.5693

## x2.ldl.glu 18.4005

## x2.hdl.tch -80.2150

## x2.hdl.ltg -27.5329

## x2.hdl.glu 171.5203

## x2.tch.ltg -229.6767

## x2.tch.glu 198.9532

## x2.ltg.glu 90.4411

##

## , , 14 comps

##

##y

## x2.age 43.506

## x2.sex -257.196

## x2.bmi 456.776

## x2.map 343.182

## x2.tc -78.492

## x2.ldl -107.243

## x2.hdl -221.551

## x2.tch 114.380

## x2.ltg 594.776

## x2.glu 67.829

## x2.age.2 74.563

## x2.bmi.2 51.724

## x2.map.2 -13.574

## x2.tc.2 12.171

## x2.ldl.2 -5.240

## x2.hdl.2 -112.850

## x2.tch.2 111.921

## x2.ltg.2 195.924

## x2.glu.2 102.730

## x2.age.sex 161.754

## x2.age.bmi -15.790

## x2.age.map 29.649

## x2.age.tc -66.907

## x2.age.ldl -156.755

## x2.age.hdl 201.197

## x2.age.tch 193.511

## x2.age.ltg 74.589

## x2.age.glu 49.022

## x2.sex.bmi 75.480

## x2.sex.map 86.549

## x2.sex.tc 97.446

## x2.sex.ldl -129.840

## x2.sex.hdl 81.227

## x2.sex.tch -3.750

## x2.sex.ltg -53.134

## x2.sex.glu 44.122

## x2.bmi.map 175.714

## x2.bmi.tc -155.378

## x2.bmi.ldl 86.831

## x2.bmi.hdl 67.035

## x2.bmi.tch 17.573

## x2.bmi.ltg -13.018

## x2.bmi.glu 34.784

## x2.map.tc -17.705

## x2.map.ldl 99.988

## x2.map.hdl 7.301

## x2.map.tch -60.040

## x2.map.ltg 17.476

## x2.map.glu -147.406

## x2.tc.ldl 173.737

## x2.tc.hdl 45.127

## x2.tc.tch -344.565

## x2.tc.ltg -299.139

## x2.tc.glu -109.952

## x2.ldl.hdl -130.705

## x2.ldl.tch -24.650

## x2.ldl.ltg 421.395

## x2.ldl.glu 27.370

## x2.hdl.tch -71.901

## x2.hdl.ltg -21.879

## x2.hdl.glu 197.109

## x2.tch.ltg -238.660

## x2.tch.glu 226.962

## x2.ltg.glu 87.097

##

## , , 15 comps

##

##y

## x2.age 40.664

## x2.sex -248.610

## x2.bmi 445.071

## x2.map 344.377

## x2.tc -71.046

## x2.ldl -97.428

## x2.hdl -211.519

## x2.tch 112.173

## x2.ltg 610.257

## x2.glu 64.254

## x2.age.2 78.373

## x2.bmi.2 56.603

## x2.map.2 -16.466

## x2.tc.2 9.014

## x2.ldl.2 -14.798

## x2.hdl.2 -110.823

## x2.tch.2 132.659

## x2.ltg.2 214.487

## x2.glu.2 92.620

## x2.age.sex 167.611

## x2.age.bmi -19.647

## x2.age.map 25.587

## x2.age.tc -72.590

## x2.age.ldl -164.416

## x2.age.hdl 208.164

## x2.age.tch 217.902

## x2.age.ltg 75.096

## x2.age.glu 52.923

## x2.sex.bmi 66.800

## x2.sex.map 90.622

## x2.sex.tc 111.200

## x2.sex.ldl -141.334

## x2.sex.hdl 67.447

## x2.sex.tch -11.385

## x2.sex.ltg -55.723

## x2.sex.glu 42.981

## x2.bmi.map 174.383

## x2.bmi.tc -170.848

## x2.bmi.ldl 94.016

## x2.bmi.hdl 73.477

## x2.bmi.tch 14.909

## x2.bmi.ltg -5.452

## x2.bmi.glu 42.788

## x2.map.tc -13.044

## x2.map.ldl 103.074

## x2.map.hdl 18.674

## x2.map.tch -58.740

## x2.map.ltg 16.179

## x2.map.glu -141.811

## x2.tc.ldl 183.326

## x2.tc.hdl 61.106

## x2.tc.tch -359.433

## x2.tc.ltg -336.635

## x2.tc.glu -119.278

## x2.ldl.hdl -136.304

## x2.ldl.tch -28.181

## x2.ldl.ltg 449.587

## x2.ldl.glu 40.510

## x2.hdl.tch -66.061

## x2.hdl.ltg -10.465

## x2.hdl.glu 210.755

## x2.tch.ltg -242.083

## x2.tch.glu 259.727

## x2.ltg.glu 79.548

##

## , , 16 comps

##

##y

## x2.age 39.861

## x2.sex -244.796

## x2.bmi 446.130

## x2.map 346.716

## x2.tc -71.029

## x2.ldl -94.739

## x2.hdl -200.613

## x2.tch 103.255

## x2.ltg 620.429

## x2.glu 67.678

## x2.age.2 78.680

## x2.bmi.2 57.165

## x2.map.2 -16.411

## x2.tc.2 5.194

## x2.ldl.2 -26.137

## x2.hdl.2 -113.955

## x2.tch.2 147.760

## x2.ltg.2 234.578

## x2.glu.2 85.195

## x2.age.sex 164.658

## x2.age.bmi -23.574

## x2.age.map 22.950

## x2.age.tc -74.364

## x2.age.ldl -168.279

## x2.age.hdl 215.162

## x2.age.tch 231.954

## x2.age.ltg 76.665

## x2.age.glu 47.625

## x2.sex.bmi 68.011

## x2.sex.map 92.187

## x2.sex.tc 129.015

## x2.sex.ldl -154.649

## x2.sex.hdl 46.785

## x2.sex.tch -27.023

## x2.sex.ltg -48.338

## x2.sex.glu 42.053

## x2.bmi.map 172.113

## x2.bmi.tc -181.296

## x2.bmi.ldl 103.325

## x2.bmi.hdl 77.220

## x2.bmi.tch 7.288

## x2.bmi.ltg 13.804

## x2.bmi.glu 39.470

## x2.map.tc -8.332

## x2.map.ldl 98.310

## x2.map.hdl 25.335

## x2.map.tch -59.066

## x2.map.ltg 25.102

## x2.map.glu -136.895

## x2.tc.ldl 192.439

## x2.tc.hdl 65.981

## x2.tc.tch -359.155

## x2.tc.ltg -368.722

## x2.tc.glu -138.752

## x2.ldl.hdl -145.470

## x2.ldl.tch -31.706

## x2.ldl.ltg 482.162

## x2.ldl.glu 40.226

## x2.hdl.tch -43.487

## x2.hdl.ltg 1.087

## x2.hdl.glu 225.519

## x2.tch.ltg -231.029

## x2.tch.glu 281.515

## x2.ltg.glu 70.782

##

## , , 17 comps

##

##y

## x2.age 39.845

## x2.sex -244.366

## x2.bmi 451.213

## x2.map 341.223

## x2.tc -79.214

## x2.ldl -94.501

## x2.hdl -197.878

## x2.tch 98.157

## x2.ltg 628.374

## x2.glu 72.647

## x2.age.2 76.621

## x2.bmi.2 53.716

## x2.map.2 -19.699

## x2.tc.2 -2.407

## x2.ldl.2 -35.661

## x2.hdl.2 -114.534

## x2.tch.2 166.138

## x2.ltg.2 250.116

## x2.glu.2 92.414

## x2.age.sex 162.500

## x2.age.bmi -20.764

## x2.age.map 24.571

## x2.age.tc -78.088

## x2.age.ldl -168.944

## x2.age.hdl 216.907

## x2.age.tch 244.607

## x2.age.ltg 71.107

## x2.age.glu 48.447

## x2.sex.bmi 69.674

## x2.sex.map 90.928

## x2.sex.tc 151.749

## x2.sex.ldl -165.405

## x2.sex.hdl 21.815

## x2.sex.tch -48.632

## x2.sex.ltg -47.269

## x2.sex.glu 40.661

## x2.bmi.map 163.972

## x2.bmi.tc -196.838

## x2.bmi.ldl 114.858

## x2.bmi.hdl 77.595

## x2.bmi.tch -5.440

## x2.bmi.ltg 28.465

## x2.bmi.glu 36.427

## x2.map.tc -10.134

## x2.map.ldl 88.177

## x2.map.hdl 26.359

## x2.map.tch -62.178

## x2.map.ltg 26.402

## x2.map.glu -129.218

## x2.tc.ldl 202.468

## x2.tc.hdl 66.977

## x2.tc.tch -353.148

## x2.tc.ltg -415.747

## x2.tc.glu -153.843

## x2.ldl.hdl -162.799

## x2.ldl.tch -32.061

## x2.ldl.ltg 508.716

## x2.ldl.glu 46.848

## x2.hdl.tch -15.301

## x2.hdl.ltg 19.160

## x2.hdl.glu 238.308

## x2.tch.ltg -220.745

## x2.tch.glu 309.259

## x2.ltg.glu 65.193

##

## , , 18 comps

##

##y

## x2.age 41.9107

## x2.sex -246.9820

## x2.bmi 456.8200

## x2.map 331.2384

## x2.tc -85.1219

## x2.ldl -90.7723

## x2.hdl -197.5778

## x2.tch 99.9251

## x2.ltg 643.5443

## x2.glu 72.0670

## x2.age.2 72.8374

## x2.bmi.2 48.0762

## x2.map.2 -18.1296

## x2.tc.2 -4.3221

## x2.ldl.2 -45.6748

## x2.hdl.2 -100.5042

## x2.tch.2 189.6281

## x2.ltg.2 281.5946

## x2.glu.2 102.3620

## x2.age.sex 156.6118

## x2.age.bmi -10.3959

## x2.age.map 33.5085

## x2.age.tc -81.1820

## x2.age.ldl -167.5962

## x2.age.hdl 223.6611

## x2.age.tch 250.6117

## x2.age.ltg 58.3412

## x2.age.glu 47.2699

## x2.sex.bmi 72.5685

## x2.sex.map 85.2057

## x2.sex.tc 183.3704

## x2.sex.ldl -175.9367

## x2.sex.hdl -14.1683

## x2.sex.tch -78.8024

## x2.sex.ltg -57.4036

## x2.sex.glu 31.6155

## x2.bmi.map 157.4098

## x2.bmi.tc -217.2574

## x2.bmi.ldl 136.6909

## x2.bmi.hdl 71.7783

## x2.bmi.tch -23.1836

## x2.bmi.ltg 42.2545

## x2.bmi.glu 31.5515

## x2.map.tc -0.2253

## x2.map.ldl 88.1786

## x2.map.hdl 15.2648

## x2.map.tch -53.5965

## x2.map.ltg 31.3815

## x2.map.glu -120.3795

## x2.tc.ldl 218.3267

## x2.tc.hdl 80.6677

## x2.tc.tch -346.8508

## x2.tc.ltg -474.3293

## x2.tc.glu -173.9930

## x2.ldl.hdl -180.4318

## x2.ldl.tch -39.9099

## x2.ldl.ltg 536.3007

## x2.ldl.glu 49.4515

## x2.hdl.tch 20.4211

## x2.hdl.ltg 48.1398

## x2.hdl.glu 265.4188

## x2.tch.ltg -202.3426

## x2.tch.glu 333.7355

## x2.ltg.glu 58.2877

##

## , , 19 comps

##

##y

## x2.age 40.071

## x2.sex -250.377

## x2.bmi 461.945

## x2.map 322.341

## x2.tc -87.348

## x2.ldl -84.671

## x2.hdl -198.084

## x2.tch 105.047

## x2.ltg 653.551

## x2.glu 64.820

## x2.age.2 72.883

## x2.bmi.2 48.263

## x2.map.2 -20.613

## x2.tc.2 -5.732

## x2.ldl.2 -57.820

## x2.hdl.2 -86.663

## x2.tch.2 206.275

## x2.ltg.2 321.545

## x2.glu.2 111.117

## x2.age.sex 164.052

## x2.age.bmi -5.617

## x2.age.map 32.231

## x2.age.tc -82.492

## x2.age.ldl -165.425

## x2.age.hdl 227.144

## x2.age.tch 253.424

## x2.age.ltg 50.937

## x2.age.glu 47.053

## x2.sex.bmi 75.487

## x2.sex.map 78.431

## x2.sex.tc 222.941

## x2.sex.ldl -180.338

## x2.sex.hdl -39.054

## x2.sex.tch -104.344

## x2.sex.ltg -63.296

## x2.sex.glu 36.908

## x2.bmi.map 149.763

## x2.bmi.tc -229.128

## x2.bmi.ldl 166.940

## x2.bmi.hdl 64.757

## x2.bmi.tch -36.899

## x2.bmi.ltg 50.304

## x2.bmi.glu 32.106

## x2.map.tc 4.493

## x2.map.ldl 81.341

## x2.map.hdl 10.327

## x2.map.tch -56.225

## x2.map.ltg 23.307

## x2.map.glu -123.137

## x2.tc.ldl 228.612

## x2.tc.hdl 92.265

## x2.tc.tch -344.069

## x2.tc.ltg -519.498

## x2.tc.glu -191.021

## x2.ldl.hdl -194.240

## x2.ldl.tch -58.136

## x2.ldl.ltg 556.085

## x2.ldl.glu 47.668

## x2.hdl.tch 55.228

## x2.hdl.ltg 75.521

## x2.hdl.glu 286.064

## x2.tch.ltg -177.751

## x2.tch.glu 352.079

## x2.ltg.glu 61.085

##

## , , 20 comps

##

##y

## x2.age 43.410

## x2.sex -249.966

## x2.bmi 462.381

## x2.map 334.000

## x2.tc -93.174

## x2.ldl -78.298

## x2.hdl -194.642

## x2.tch 109.093

## x2.ltg 651.544

## x2.glu 59.699

## x2.age.2 74.256

## x2.bmi.2 49.781

## x2.map.2 -6.923

## x2.tc.2 -5.673

## x2.ldl.2 -63.406

## x2.hdl.2 -69.260

## x2.tch.2 225.084

## x2.ltg.2 352.356

## x2.glu.2 116.099

## x2.age.sex 169.745

## x2.age.bmi -6.464

## x2.age.map 18.813

## x2.age.tc -84.383

## x2.age.ldl -164.181

## x2.age.hdl 223.468

## x2.age.tch 253.892

## x2.age.ltg 54.301

## x2.age.glu 50.393

## x2.sex.bmi 72.654

## x2.sex.map 70.171

## x2.sex.tc 254.940

## x2.sex.ldl -198.034

## x2.sex.hdl -61.838

## x2.sex.tch -133.290

## x2.sex.ltg -73.880

## x2.sex.glu 49.828

## x2.bmi.map 156.777

## x2.bmi.tc -243.515

## x2.bmi.ldl 201.472

## x2.bmi.hdl 58.113

## x2.bmi.tch -56.456

## x2.bmi.ltg 46.727

## x2.bmi.glu 31.627

## x2.map.tc 13.329

## x2.map.ldl 78.990

## x2.map.hdl -1.847

## x2.map.tch -55.123

## x2.map.ltg 11.279

## x2.map.glu -127.604

## x2.tc.ldl 242.824

## x2.tc.hdl 95.430

## x2.tc.tch -339.473

## x2.tc.ltg -569.825

## x2.tc.glu -208.044

## x2.ldl.hdl -218.502

## x2.ldl.tch -77.276

## x2.ldl.ltg 574.568

## x2.ldl.glu 47.001

## x2.hdl.tch 87.722

## x2.hdl.ltg 106.137

## x2.hdl.glu 300.176

## x2.tch.ltg -151.639

## x2.tch.glu 364.870

## x2.ltg.glu 66.480

##

## , , 21 comps

##

##y

## x2.age 41.2088

## x2.sex -249.4233

## x2.bmi 455.4620

## x2.map 340.5028

## x2.tc -102.6148

## x2.ldl -75.1749

## x2.hdl -199.7527

## x2.tch 118.8339

## x2.ltg 649.6384

## x2.glu 58.9728

## x2.age.2 78.3963

## x2.bmi.2 53.2025

## x2.map.2 -7.0237

## x2.tc.2 -3.6172

## x2.ldl.2 -63.8418

## x2.hdl.2 -61.3888

## x2.tch.2 242.4722

## x2.ltg.2 367.8345

## x2.glu.2 115.8326

## x2.age.sex 161.0408

## x2.age.bmi -8.1406

## x2.age.map 12.0348

## x2.age.tc -80.0118

## x2.age.ldl -163.8094

## x2.age.hdl 230.4265

## x2.age.tch 242.1314

## x2.age.ltg 67.2766

## x2.age.glu 58.5747

## x2.sex.bmi 72.6758

## x2.sex.map 73.4231

## x2.sex.tc 278.8387

## x2.sex.ldl -217.6380

## x2.sex.hdl -82.0897

## x2.sex.tch -142.6691

## x2.sex.ltg -76.6026

## x2.sex.glu 55.6071

## x2.bmi.map 158.7764

## x2.bmi.tc -256.8403

## x2.bmi.ldl 221.4243

## x2.bmi.hdl 55.4061

## x2.bmi.tch -69.1464

## x2.bmi.ltg 49.8762

## x2.bmi.glu 34.0112

## x2.map.tc 24.3485

## x2.map.ldl 74.9451

## x2.map.hdl -7.2834

## x2.map.tch -53.5906

## x2.map.ltg 0.4803

## x2.map.glu -139.0805

## x2.tc.ldl 256.7558

## x2.tc.hdl 94.4238

## x2.tc.tch -339.8538

## x2.tc.ltg -613.6547

## x2.tc.glu -213.0840

## x2.ldl.hdl -231.9475

## x2.ldl.tch -99.7167

## x2.ldl.ltg 583.9668

## x2.ldl.glu 50.3172

## x2.hdl.tch 110.2768

## x2.hdl.ltg 125.1742

## x2.hdl.glu 311.0499

## x2.tch.ltg -127.4127

## x2.tch.glu 368.0891

## x2.ltg.glu 75.2938

##

## , , 22 comps

##

##y

## x2.age 45.945

## x2.sex -258.743

## x2.bmi 447.252

## x2.map 340.499

## x2.tc -103.739

## x2.ldl -69.230

## x2.hdl -195.057

## x2.tch 124.092

## x2.ltg 649.783

## x2.glu 62.975

## x2.age.2 75.682

## x2.bmi.2 55.614

## x2.map.2 -9.027

## x2.tc.2 1.085

## x2.ldl.2 -62.992

## x2.hdl.2 -59.230

## x2.tch.2 253.458

## x2.ltg.2 374.689

## x2.glu.2 113.914

## x2.age.sex 160.640

## x2.age.bmi -13.356

## x2.age.map 13.305

## x2.age.tc -79.380

## x2.age.ldl -163.625

## x2.age.hdl 227.069

## x2.age.tch 230.828

## x2.age.ltg 80.476

## x2.age.glu 60.097

## x2.sex.bmi 73.765

## x2.sex.map 80.911

## x2.sex.tc 302.603

## x2.sex.ldl -231.066

## x2.sex.hdl -88.213

## x2.sex.tch -149.218

## x2.sex.ltg -88.009

## x2.sex.glu 54.855

## x2.bmi.map 158.189

## x2.bmi.tc -271.504

## x2.bmi.ldl 234.587

## x2.bmi.hdl 49.371

## x2.bmi.tch -76.121

## x2.bmi.ltg 56.630

## x2.bmi.glu 36.203

## x2.map.tc 35.969

## x2.map.ldl 69.208

## x2.map.hdl -13.807

## x2.map.tch -51.410

## x2.map.ltg -3.507

## x2.map.glu -147.872

## x2.tc.ldl 269.561

## x2.tc.hdl 88.612

## x2.tc.tch -345.046

## x2.tc.ltg -645.192

## x2.tc.glu -217.022

## x2.ldl.hdl -244.972

## x2.ldl.tch -123.787

## x2.ldl.ltg 594.904

## x2.ldl.glu 56.464

## x2.hdl.tch 128.687

## x2.hdl.ltg 143.878

## x2.hdl.glu 310.317

## x2.tch.ltg -111.495

## x2.tch.glu 367.056

## x2.ltg.glu 81.851

##

## , , 23 comps

##

##y

## x2.age 50.298

## x2.sex -260.026

## x2.bmi 436.389

## x2.map 339.970

## x2.tc -114.487

## x2.ldl -72.200

## x2.hdl -193.106

## x2.tch 133.071

## x2.ltg 654.504

## x2.glu 67.100

## x2.age.2 71.836

## x2.bmi.2 54.355

## x2.map.2 -8.585

## x2.tc.2 12.822

## x2.ldl.2 -64.579

## x2.hdl.2 -55.319

## x2.tch.2 275.641

## x2.ltg.2 384.852

## x2.glu.2 110.065

## x2.age.sex 164.841

## x2.age.bmi -17.406

## x2.age.map 17.478

## x2.age.tc -84.222

## x2.age.ldl -161.723

## x2.age.hdl 214.069

## x2.age.tch 214.833

## x2.age.ltg 89.361

## x2.age.glu 60.563

## x2.sex.bmi 76.604

## x2.sex.map 80.013

## x2.sex.tc 330.909

## x2.sex.ldl -250.925

## x2.sex.hdl -105.225

## x2.sex.tch -142.228

## x2.sex.ltg -109.790

## x2.sex.glu 51.382

## x2.bmi.map 162.587

## x2.bmi.tc -288.639

## x2.bmi.ldl 254.273

## x2.bmi.hdl 51.634

## x2.bmi.tch -85.902

## x2.bmi.ltg 65.260

## x2.bmi.glu 37.966

## x2.map.tc 52.127

## x2.map.ldl 50.241

## x2.map.hdl -14.559

## x2.map.tch -56.488

## x2.map.ltg -4.390

## x2.map.glu -148.878

## x2.tc.ldl 286.005

## x2.tc.hdl 80.061

## x2.tc.tch -356.827

## x2.tc.ltg -677.008

## x2.tc.glu -221.348

## x2.ldl.hdl -263.683

## x2.ldl.tch -162.167

## x2.ldl.ltg 615.495

## x2.ldl.glu 66.450

## x2.hdl.tch 144.823

## x2.hdl.ltg 172.865

## x2.hdl.glu 305.813

## x2.tch.ltg -88.466

## x2.tch.glu 357.174

## x2.ltg.glu 88.489

##

## , , 24 comps

##

##y

## x2.age 40.836

## x2.sex -260.283

## x2.bmi 437.231

## x2.map 334.274

## x2.tc -120.856

## x2.ldl -73.272

## x2.hdl -182.588

## x2.tch 141.641

## x2.ltg 665.359

## x2.glu 66.536

## x2.age.2 74.278

## x2.bmi.2 56.978

## x2.map.2 -9.616

## x2.tc.2 30.575

## x2.ldl.2 -65.906

## x2.hdl.2 -53.711

## x2.tch.2 308.324

## x2.ltg.2 392.979

## x2.glu.2 107.288

## x2.age.sex 166.530

## x2.age.bmi -18.698

## x2.age.map 14.640

## x2.age.tc -80.930

## x2.age.ldl -143.837

## x2.age.hdl 204.290

## x2.age.tch 194.339

## x2.age.ltg 84.835

## x2.age.glu 57.340

## x2.sex.bmi 73.908

## x2.sex.map 82.076

## x2.sex.tc 367.061

## x2.sex.ldl -284.137

## x2.sex.hdl -111.525

## x2.sex.tch -133.649

## x2.sex.ltg -132.421

## x2.sex.glu 51.315

## x2.bmi.map 167.558

## x2.bmi.tc -313.518

## x2.bmi.ldl 277.782

## x2.bmi.hdl 58.544

## x2.bmi.tch -95.518

## x2.bmi.ltg 69.802

## x2.bmi.glu 37.984

## x2.map.tc 72.591

## x2.map.ldl 25.410

## x2.map.hdl -22.787

## x2.map.tch -58.191

## x2.map.ltg -8.208

## x2.map.glu -137.118

## x2.tc.ldl 307.920

## x2.tc.hdl 66.632

## x2.tc.tch -372.049

## x2.tc.ltg -721.142

## x2.tc.glu -231.148

## x2.ldl.hdl -282.302

## x2.ldl.tch -212.267

## x2.ldl.ltg 637.974

## x2.ldl.glu 78.641

## x2.hdl.tch 162.151

## x2.hdl.ltg 196.453

## x2.hdl.glu 290.017

## x2.tch.ltg -58.173

## x2.tch.glu 340.675

## x2.ltg.glu 89.318

##

## , , 25 comps

##

##y

## x2.age 41.374

## x2.sex -254.190

## x2.bmi 443.542

## x2.map 338.184

## x2.tc -122.643

## x2.ldl -75.038

## x2.hdl -169.887

## x2.tch 139.237

## x2.ltg 668.994

## x2.glu 70.045

## x2.age.2 74.975

## x2.bmi.2 56.154

## x2.map.2 -15.287

## x2.tc.2 41.809

## x2.ldl.2 -66.423

## x2.hdl.2 -49.535

## x2.tch.2 326.121

## x2.ltg.2 401.153

## x2.glu.2 107.677

## x2.age.sex 169.642

## x2.age.bmi -10.294

## x2.age.map 10.544

## x2.age.tc -83.825

## x2.age.ldl -138.299

## x2.age.hdl 196.332

## x2.age.tch 184.999

## x2.age.ltg 84.031

## x2.age.glu 58.076

## x2.sex.bmi 71.854

## x2.sex.map 81.134

## x2.sex.tc 387.926

## x2.sex.ldl -305.472

## x2.sex.hdl -110.472

## x2.sex.tch -126.897

## x2.sex.ltg -137.565

## x2.sex.glu 50.487

## x2.bmi.map 160.599

## x2.bmi.tc -323.965

## x2.bmi.ldl 293.567

## x2.bmi.hdl 64.281

## x2.bmi.tch -95.426

## x2.bmi.ltg 75.231

## x2.bmi.glu 33.493

## x2.map.tc 87.019

## x2.map.ldl 11.395

## x2.map.hdl -28.053

## x2.map.tch -56.939

## x2.map.ltg -7.062

## x2.map.glu -132.719

## x2.tc.ldl 318.381

## x2.tc.hdl 61.837

## x2.tc.tch -379.559

## x2.tc.ltg -746.753

## x2.tc.glu -227.679

## x2.ldl.hdl -291.606

## x2.ldl.tch -236.202

## x2.ldl.ltg 642.760

## x2.ldl.glu 88.918

## x2.hdl.tch 171.967

## x2.hdl.ltg 207.427

## x2.hdl.glu 287.530

## x2.tch.ltg -50.161

## x2.tch.glu 325.620

## x2.ltg.glu 92.123

##

## , , 26 comps

##

##y

## x2.age 40.1727

## x2.sex -256.6505

## x2.bmi 447.2579

## x2.map 337.4258

## x2.tc -122.0443

## x2.ldl -71.1333

## x2.hdl -165.9360

## x2.tch 141.1521

## x2.ltg 667.2398

## x2.glu 64.7782

## x2.age.2 72.9039

## x2.bmi.2 57.5160

## x2.map.2 -9.8293

## x2.tc.2 49.8335

## x2.ldl.2 -73.5310

## x2.hdl.2 -46.2462

## x2.tch.2 343.9250

## x2.ltg.2 410.1857

## x2.glu.2 109.5233

## x2.age.sex 172.3803

## x2.age.bmi 0.1999

## x2.age.map 7.3476

## x2.age.tc -87.1383

## x2.age.ldl -135.3854

## x2.age.hdl 193.6153

## x2.age.tch 179.5661

## x2.age.ltg 84.4982

## x2.age.glu 59.1199

## x2.sex.bmi 76.2152

## x2.sex.map 83.4043

## x2.sex.tc 398.3164

## x2.sex.ldl -325.8334

## x2.sex.hdl -108.9914

## x2.sex.tch -120.4908

## x2.sex.ltg -138.9072

## x2.sex.glu 49.2603

## x2.bmi.map 153.1892

## x2.bmi.tc -336.5634

## x2.bmi.ldl 299.8683

## x2.bmi.hdl 74.3002

## x2.bmi.tch -92.6454

## x2.bmi.ltg 80.9119

## x2.bmi.glu 32.0385

## x2.map.tc 99.7003

## x2.map.ldl 0.9160

## x2.map.hdl -30.3395

## x2.map.tch -55.8946

## x2.map.ltg -8.7487

## x2.map.glu -135.3761

## x2.tc.ldl 319.3853

## x2.tc.hdl 58.6580

## x2.tc.tch -379.9735

## x2.tc.ltg -758.7149

## x2.tc.glu -227.1786

## x2.ldl.hdl -301.1562

## x2.ldl.tch -245.2108

## x2.ldl.ltg 647.1269

## x2.ldl.glu 94.1157

## x2.hdl.tch 180.6867

## x2.hdl.ltg 217.6492

## x2.hdl.glu 281.1557

## x2.tch.ltg -51.8257

## x2.tch.glu 313.2207

## x2.ltg.glu 93.9303

##

## , , 27 comps

##

##y

## x2.age 42.125

## x2.sex -253.837

## x2.bmi 448.497

## x2.map 339.385

## x2.tc -125.835

## x2.ldl -72.338

## x2.hdl -164.189

## x2.tch 139.986

## x2.ltg 667.554

## x2.glu 65.071

## x2.age.2 70.694

## x2.bmi.2 60.116

## x2.map.2 -4.221

## x2.tc.2 61.689

## x2.ldl.2 -84.465

## x2.hdl.2 -39.267

## x2.tch.2 359.636

## x2.ltg.2 420.457

## x2.glu.2 112.328

## x2.age.sex 171.003

## x2.age.bmi 3.792

## x2.age.map 4.227

## x2.age.tc -88.412

## x2.age.ldl -129.083

## x2.age.hdl 193.250

## x2.age.tch 177.433

## x2.age.ltg 83.694

## x2.age.glu 58.520

## x2.sex.bmi 80.738

## x2.sex.map 80.614

## x2.sex.tc 412.707

## x2.sex.ldl -340.126

## x2.sex.hdl -106.721

## x2.sex.tch -113.298

## x2.sex.ltg -144.378

## x2.sex.glu 48.382

## x2.bmi.map 147.822

## x2.bmi.tc -351.538

## x2.bmi.ldl 304.572

## x2.bmi.hdl 87.198

## x2.bmi.tch -87.568

## x2.bmi.ltg 91.903

## x2.bmi.glu 30.909

## x2.map.tc 113.835

## x2.map.ldl -7.774

## x2.map.hdl -37.724

## x2.map.tch -52.452

## x2.map.ltg -18.625

## x2.map.glu -143.886

## x2.tc.ldl 318.520

## x2.tc.hdl 59.253

## x2.tc.tch -378.561

## x2.tc.ltg -769.519

## x2.tc.glu -226.368

## x2.ldl.hdl -308.093

## x2.ldl.tch -252.800

## x2.ldl.ltg 652.306

## x2.ldl.glu 102.404

## x2.hdl.tch 194.820

## x2.hdl.ltg 221.526

## x2.hdl.glu 267.253

## x2.tch.ltg -57.186

## x2.tch.glu 301.199

## x2.ltg.glu 92.702

##

## , , 28 comps

##

##y

## x2.age 40.5303

## x2.sex -253.1099

## x2.bmi 445.4045

## x2.map 338.6354

## x2.tc -126.3342

## x2.ldl -71.0646

## x2.hdl -162.0133

## x2.tch 138.7515

## x2.ltg 671.7435

## x2.glu 68.3837

## x2.age.2 75.3248

## x2.bmi.2 58.6730

## x2.map.2 0.5406

## x2.tc.2 77.5475

## x2.ldl.2 -97.9360

## x2.hdl.2 -26.9576

## x2.tch.2 375.9828

## x2.ltg.2 430.7616

## x2.glu.2 115.7838

## x2.age.sex 170.6534

## x2.age.bmi 0.3834

## x2.age.map 10.5247

## x2.age.tc -94.8034

## x2.age.ldl -128.3644

## x2.age.hdl 194.2818

## x2.age.tch 175.5643

## x2.age.ltg 85.0444

## x2.age.glu 63.1075

## x2.sex.bmi 84.9218

## x2.sex.map 79.8816

## x2.sex.tc 427.4399

## x2.sex.ldl -357.5647

## x2.sex.hdl -104.9575

## x2.sex.tch -109.1252

## x2.sex.ltg -149.3735

## x2.sex.glu 50.9910

## x2.bmi.map 145.2560

## x2.bmi.tc -366.3912

## x2.bmi.ldl 314.9940

## x2.bmi.hdl 105.6735

## x2.bmi.tch -80.5306

## x2.bmi.ltg 101.8582

## x2.bmi.glu 31.1301

## x2.map.tc 128.9047

## x2.map.ldl -22.7450

## x2.map.hdl -47.8307

## x2.map.tch -49.5789

## x2.map.ltg -31.0000

## x2.map.glu -146.9140

## x2.tc.ldl 316.3789

## x2.tc.hdl 58.6680

## x2.tc.tch -373.6866

## x2.tc.ltg -782.3575

## x2.tc.glu -225.5510

## x2.ldl.hdl -318.2316

## x2.ldl.tch -258.5211

## x2.ldl.ltg 657.2504

## x2.ldl.glu 108.4678

## x2.hdl.tch 213.6574

## x2.hdl.ltg 219.1563

## x2.hdl.glu 254.4779

## x2.tch.ltg -66.1399

## x2.tch.glu 281.0196

## x2.ltg.glu 90.6837

##

## , , 29 comps

##

##y

## x2.age 43.757

## x2.sex -257.385

## x2.bmi 449.042

## x2.map 333.512

## x2.tc -128.646

## x2.ldl -66.142

## x2.hdl -165.494

## x2.tch 138.693

## x2.ltg 672.925

## x2.glu 66.740

## x2.age.2 71.590

## x2.bmi.2 61.627

## x2.map.2 -4.078

## x2.tc.2 103.303

## x2.ldl.2 -120.117

## x2.hdl.2 -5.618

## x2.tch.2 399.405

## x2.ltg.2 442.496

## x2.glu.2 117.424

## x2.age.sex 166.184

## x2.age.bmi -11.388

## x2.age.map 14.235

## x2.age.tc -100.002

## x2.age.ldl -121.843

## x2.age.hdl 194.053

## x2.age.tch 183.754

## x2.age.ltg 92.224

## x2.age.glu 59.006

## x2.sex.bmi 80.988

## x2.sex.map 78.332

## x2.sex.tc 448.037

## x2.sex.ldl -380.495

## x2.sex.hdl -110.538

## x2.sex.tch -102.182

## x2.sex.ltg -155.160

## x2.sex.glu 53.213

## x2.bmi.map 150.088

## x2.bmi.tc -393.130

## x2.bmi.ldl 333.493

## x2.bmi.hdl 130.529

## x2.bmi.tch -64.549

## x2.bmi.ltg 109.804

## x2.bmi.glu 32.311

## x2.map.tc 157.487

## x2.map.ldl -49.365

## x2.map.hdl -58.696

## x2.map.tch -45.515

## x2.map.ltg -43.841

## x2.map.glu -145.143

## x2.tc.ldl 310.644

## x2.tc.hdl 56.787

## x2.tc.tch -365.331

## x2.tc.ltg -801.597

## x2.tc.glu -218.340

## x2.ldl.hdl -334.474

## x2.ldl.tch -266.194

## x2.ldl.ltg 663.036

## x2.ldl.glu 115.235

## x2.hdl.tch 245.024

## x2.hdl.ltg 211.890

## x2.hdl.glu 240.791

## x2.tch.ltg -84.636

## x2.tch.glu 249.461

## x2.ltg.glu 94.993

##

## , , 30 comps

##

##y

## x2.age 48.479

## x2.sex -255.779

## x2.bmi 448.261

## x2.map 336.908

## x2.tc -131.482

## x2.ldl -62.086

## x2.hdl -169.989

## x2.tch 136.514

## x2.ltg 671.361

## x2.glu 63.886

## x2.age.2 71.968

## x2.bmi.2 56.124

## x2.map.2 -9.745

## x2.tc.2 125.657

## x2.ldl.2 -137.497

## x2.hdl.2 8.889

## x2.tch.2 417.404

## x2.ltg.2 447.396

## x2.glu.2 116.643

## x2.age.sex 167.312

## x2.age.bmi -9.053

## x2.age.map 20.723

## x2.age.tc -106.243

## x2.age.ldl -118.317

## x2.age.hdl 199.933

## x2.age.tch 186.169

## x2.age.ltg 93.898

## x2.age.glu 52.683

## x2.sex.bmi 79.089

## x2.sex.map 82.023

## x2.sex.tc 463.676

## x2.sex.ldl -394.474

## x2.sex.hdl -113.414

## x2.sex.tch -102.342

## x2.sex.ltg -160.711

## x2.sex.glu 53.515

## x2.bmi.map 158.014

## x2.bmi.tc -419.211

## x2.bmi.ldl 347.120

## x2.bmi.hdl 143.851

## x2.bmi.tch -46.225

## x2.bmi.ltg 110.795

## x2.bmi.glu 30.857

## x2.map.tc 183.540

## x2.map.ldl -70.428

## x2.map.hdl -60.728

## x2.map.tch -45.157

## x2.map.ltg -55.079

## x2.map.glu -143.503

## x2.tc.ldl 305.787

## x2.tc.hdl 53.359

## x2.tc.tch -357.829

## x2.tc.ltg -813.591

## x2.tc.glu -212.982

## x2.ldl.hdl -344.563

## x2.ldl.tch -273.968

## x2.ldl.ltg 668.384

## x2.ldl.glu 116.560

## x2.hdl.tch 271.775

## x2.hdl.ltg 202.292

## x2.hdl.glu 227.788

## x2.tch.ltg -96.235

## x2.tch.glu 233.180

## x2.ltg.glu 100.313

##

## , , 31 comps

##

##y

## x2.age 44.291

## x2.sex -259.270

## x2.bmi 448.584

## x2.map 339.141

## x2.tc -130.150

## x2.ldl -56.989

## x2.hdl -171.099

## x2.tch 133.327

## x2.ltg 670.504

## x2.glu 65.426

## x2.age.2 74.382

## x2.bmi.2 52.960

## x2.map.2 -10.235

## x2.tc.2 139.935

## x2.ldl.2 -148.526

## x2.hdl.2 16.441

## x2.tch.2 427.457

## x2.ltg.2 447.027

## x2.glu.2 116.835

## x2.age.sex 165.084

## x2.age.bmi -5.425

## x2.age.map 18.418

## x2.age.tc -113.246

## x2.age.ldl -117.175

## x2.age.hdl 201.414

## x2.age.tch 188.837

## x2.age.ltg 93.690

## x2.age.glu 53.796

## x2.sex.bmi 76.811

## x2.sex.map 81.928

## x2.sex.tc 473.072

## x2.sex.ldl -398.081

## x2.sex.hdl -118.880

## x2.sex.tch -100.937

## x2.sex.ltg -165.164

## x2.sex.glu 49.687

## x2.bmi.map 164.646

## x2.bmi.tc -435.429

## x2.bmi.ldl 355.295

## x2.bmi.hdl 152.565

## x2.bmi.tch -35.007

## x2.bmi.ltg 111.608

## x2.bmi.glu 27.401

## x2.map.tc 198.913

## x2.map.ldl -85.745

## x2.map.hdl -64.900

## x2.map.tch -44.212

## x2.map.ltg -60.925

## x2.map.glu -146.288

## x2.tc.ldl 301.534

## x2.tc.hdl 49.704

## x2.tc.tch -355.116

## x2.tc.ltg -818.050

## x2.tc.glu -206.775

## x2.ldl.hdl -349.227

## x2.ldl.tch -281.868

## x2.ldl.ltg 672.232

## x2.ldl.glu 115.914

## x2.hdl.tch 288.949

## x2.hdl.ltg 195.955

## x2.hdl.glu 223.115

## x2.tch.ltg -102.930

## x2.tch.glu 227.397

## x2.ltg.glu 103.866

##

## , , 32 comps

##

##y

## x2.age 41.062

## x2.sex -257.843

## x2.bmi 447.779

## x2.map 338.600

## x2.tc -131.441

## x2.ldl -55.360

## x2.hdl -173.905

## x2.tch 128.145

## x2.ltg 671.784

## x2.glu 68.443

## x2.age.2 74.343

## x2.bmi.2 50.856

## x2.map.2 -7.103

## x2.tc.2 157.653

## x2.ldl.2 -155.073

## x2.hdl.2 25.947

## x2.tch.2 439.694

## x2.ltg.2 444.077

## x2.glu.2 119.555

## x2.age.sex 167.107

## x2.age.bmi -7.152

## x2.age.map 12.806

## x2.age.tc -117.969

## x2.age.ldl -112.507

## x2.age.hdl 206.357

## x2.age.tch 192.265

## x2.age.ltg 92.957

## x2.age.glu 58.340

## x2.sex.bmi 73.358

## x2.sex.map 87.433

## x2.sex.tc 479.670

## x2.sex.ldl -400.496

## x2.sex.hdl -124.645

## x2.sex.tch -103.512

## x2.sex.ltg -170.921

## x2.sex.glu 47.837

## x2.bmi.map 163.582

## x2.bmi.tc -451.066

## x2.bmi.ldl 364.424

## x2.bmi.hdl 161.788

## x2.bmi.tch -22.950

## x2.bmi.ltg 115.009

## x2.bmi.glu 26.232

## x2.map.tc 218.518

## x2.map.ldl -103.355

## x2.map.hdl -70.299

## x2.map.tch -43.915

## x2.map.ltg -62.936

## x2.map.glu -150.007

## x2.tc.ldl 298.018

## x2.tc.hdl 43.437

## x2.tc.tch -354.788

## x2.tc.ltg -820.243

## x2.tc.glu -202.449

## x2.ldl.hdl -355.484

## x2.ldl.tch -291.829

## x2.ldl.ltg 671.944

## x2.ldl.glu 106.572

## x2.hdl.tch 303.535

## x2.hdl.ltg 192.115

## x2.hdl.glu 221.036

## x2.tch.ltg -112.935

## x2.tch.glu 225.842

## x2.ltg.glu 107.106

##

## , , 33 comps

##

##y

## x2.age 42.230

## x2.sex -255.195

## x2.bmi 447.793

## x2.map 339.546

## x2.tc -131.018

## x2.ldl -49.365

## x2.hdl -179.496

## x2.tch 118.905

## x2.ltg 673.141

## x2.glu 60.542

## x2.age.2 69.282

## x2.bmi.2 55.418

## x2.map.2 -4.868

## x2.tc.2 188.940

## x2.ldl.2 -162.224

## x2.hdl.2 39.618

## x2.tch.2 461.143

## x2.ltg.2 435.613

## x2.glu.2 120.469

## x2.age.sex 165.655

## x2.age.bmi -4.942

## x2.age.map 14.892

## x2.age.tc -129.723

## x2.age.ldl -106.298

## x2.age.hdl 214.217

## x2.age.tch 195.117

## x2.age.ltg 96.822

## x2.age.glu 64.079

## x2.sex.bmi 72.901

## x2.sex.map 83.225

## x2.sex.tc 486.963

## x2.sex.ldl -402.359

## x2.sex.hdl -133.230

## x2.sex.tch -111.769

## x2.sex.ltg -174.697

## x2.sex.glu 53.556

## x2.bmi.map 158.681

## x2.bmi.tc -477.348

## x2.bmi.ldl 382.091

## x2.bmi.hdl 181.494

## x2.bmi.tch -11.891

## x2.bmi.ltg 122.232

## x2.bmi.glu 28.004

## x2.map.tc 252.717

## x2.map.ldl -134.082

## x2.map.hdl -88.443

## x2.map.tch -46.462

## x2.map.ltg -67.938

## x2.map.glu -156.302

## x2.tc.ldl 291.124

## x2.tc.hdl 25.354

## x2.tc.tch -360.834

## x2.tc.ltg -820.485

## x2.tc.glu -191.226

## x2.ldl.hdl -366.093

## x2.ldl.tch -314.789

## x2.ldl.ltg 671.082

## x2.ldl.glu 93.266

## x2.hdl.tch 326.066

## x2.hdl.ltg 179.149

## x2.hdl.glu 221.054

## x2.tch.ltg -128.802

## x2.tch.glu 232.858

## x2.ltg.glu 99.206

##

## , , 34 comps

##

##y

## x2.age 44.193

## x2.sex -257.310

## x2.bmi 449.483

## x2.map 340.431

## x2.tc -133.332

## x2.ldl -42.423

## x2.hdl -186.960

## x2.tch 111.078

## x2.ltg 664.224

## x2.glu 65.377

## x2.age.2 70.821

## x2.bmi.2 57.287

## x2.map.2 -4.650

## x2.tc.2 220.664

## x2.ldl.2 -168.744

## x2.hdl.2 55.208

## x2.tch.2 488.183

## x2.ltg.2 433.691

## x2.glu.2 121.004

## x2.age.sex 166.051

## x2.age.bmi -5.038

## x2.age.map 13.710

## x2.age.tc -142.769

## x2.age.ldl -95.432

## x2.age.hdl 220.085

## x2.age.tch 196.462

## x2.age.ltg 102.348

## x2.age.glu 63.027

## x2.sex.bmi 77.166

## x2.sex.map 84.095

## x2.sex.tc 492.070

## x2.sex.ldl -403.865

## x2.sex.hdl -137.785

## x2.sex.tch -120.419

## x2.sex.ltg -172.527

## x2.sex.glu 51.105

## x2.bmi.map 154.976

## x2.bmi.tc -506.871

## x2.bmi.ldl 400.023

## x2.bmi.hdl 199.077

## x2.bmi.tch -9.283

## x2.bmi.ltg 133.813

## x2.bmi.glu 32.528

## x2.map.tc 288.654

## x2.map.ldl -158.707

## x2.map.hdl -109.768

## x2.map.tch -55.746

## x2.map.ltg -84.949

## x2.map.glu -150.849

## x2.tc.ldl 281.455

## x2.tc.hdl 8.019

## x2.tc.tch -371.803

## x2.tc.ltg -815.386

## x2.tc.glu -177.011

## x2.ldl.hdl -375.921

## x2.ldl.tch -337.754

## x2.ldl.ltg 671.199

## x2.ldl.glu 79.271

## x2.hdl.tch 344.114

## x2.hdl.ltg 167.106

## x2.hdl.glu 228.064

## x2.tch.ltg -145.825

## x2.tch.glu 241.840

## x2.ltg.glu 89.205

##

## , , 35 comps

##

##y

## x2.age 42.280

## x2.sex -260.464

## x2.bmi 450.424

## x2.map 339.815

## x2.tc -134.727

## x2.ldl -39.085

## x2.hdl -191.563

## x2.tch 107.145

## x2.ltg 660.864

## x2.glu 67.163

## x2.age.2 73.930

## x2.bmi.2 55.095

## x2.map.2 -7.315

## x2.tc.2 240.865

## x2.ldl.2 -169.017

## x2.hdl.2 63.679

## x2.tch.2 506.722

## x2.ltg.2 435.663

## x2.glu.2 118.606

## x2.age.sex 164.561

## x2.age.bmi -3.539

## x2.age.map 12.062

## x2.age.tc -153.308

## x2.age.ldl -89.585

## x2.age.hdl 222.695

## x2.age.tch 195.076

## x2.age.ltg 108.934

## x2.age.glu 60.526

## x2.sex.bmi 76.125

## x2.sex.map 82.004

## x2.sex.tc 493.337

## x2.sex.ldl -403.537

## x2.sex.hdl -140.703

## x2.sex.tch -122.908

## x2.sex.ltg -170.972

## x2.sex.glu 51.913

## x2.bmi.map 155.736

## x2.bmi.tc -523.623

## x2.bmi.ldl 413.495

## x2.bmi.hdl 207.720

## x2.bmi.tch -9.843

## x2.bmi.ltg 146.063

## x2.bmi.glu 32.678

## x2.map.tc 313.635

## x2.map.ldl -173.120

## x2.map.hdl -123.239

## x2.map.tch -63.013

## x2.map.ltg -94.867

## x2.map.glu -146.772

## x2.tc.ldl 275.883

## x2.tc.hdl -2.817

## x2.tc.tch -378.818

## x2.tc.ltg -814.201

## x2.tc.glu -171.918

## x2.ldl.hdl -380.858

## x2.ldl.tch -349.198

## x2.ldl.ltg 665.385

## x2.ldl.glu 67.738

## x2.hdl.tch 356.945

## x2.hdl.ltg 162.957

## x2.hdl.glu 225.788

## x2.tch.ltg -162.032

## x2.tch.glu 251.088

## x2.ltg.glu 83.755

##

## , , 36 comps

##

##y

## x2.age 40.265

## x2.sex -258.980

## x2.bmi 450.140

## x2.map 340.343

## x2.tc -135.341

## x2.ldl -37.561

## x2.hdl -193.773

## x2.tch 106.626

## x2.ltg 661.845

## x2.glu 65.692

## x2.age.2 72.359

## x2.bmi.2 52.426

## x2.map.2 -6.171

## x2.tc.2 251.435

## x2.ldl.2 -171.631

## x2.hdl.2 68.664

## x2.tch.2 519.528

## x2.ltg.2 437.777

## x2.glu.2 115.252

## x2.age.sex 162.736

## x2.age.bmi -4.973

## x2.age.map 12.704

## x2.age.tc -159.435

## x2.age.ldl -81.706

## x2.age.hdl 225.713

## x2.age.tch 192.034

## x2.age.ltg 114.041

## x2.age.glu 61.640

## x2.sex.bmi 73.881

## x2.sex.map 84.780

## x2.sex.tc 491.924

## x2.sex.ldl -402.207

## x2.sex.hdl -140.213

## x2.sex.tch -123.494

## x2.sex.ltg -168.010

## x2.sex.glu 51.751

## x2.bmi.map 156.987

## x2.bmi.tc -535.142

## x2.bmi.ldl 426.627

## x2.bmi.hdl 207.337

## x2.bmi.tch -11.842

## x2.bmi.ltg 154.200

## x2.bmi.glu 26.719

## x2.map.tc 327.279

## x2.map.ldl -185.107

## x2.map.hdl -134.559

## x2.map.tch -68.487

## x2.map.ltg -101.258

## x2.map.glu -143.838

## x2.tc.ldl 268.548

## x2.tc.hdl -9.880

## x2.tc.tch -384.560

## x2.tc.ltg -811.802

## x2.tc.glu -165.000

## x2.ldl.hdl -383.197

## x2.ldl.tch -354.877

## x2.ldl.ltg 664.496

## x2.ldl.glu 64.110

## x2.hdl.tch 367.039

## x2.hdl.ltg 161.828

## x2.hdl.glu 225.533

## x2.tch.ltg -173.834

## x2.tch.glu 257.041

## x2.ltg.glu 80.436

##

## , , 37 comps

##

##y

## x2.age 42.131

## x2.sex -259.895

## x2.bmi 448.597

## x2.map 341.817

## x2.tc -136.052

## x2.ldl -36.387

## x2.hdl -192.811

## x2.tch 106.959

## x2.ltg 663.185

## x2.glu 62.821

## x2.age.2 68.356

## x2.bmi.2 52.026

## x2.map.2 -6.082

## x2.tc.2 261.045

## x2.ldl.2 -172.571

## x2.hdl.2 71.552

## x2.tch.2 534.260

## x2.ltg.2 437.368

## x2.glu.2 114.943

## x2.age.sex 163.699

## x2.age.bmi -6.397

## x2.age.map 12.086

## x2.age.tc -168.691

## x2.age.ldl -71.625

## x2.age.hdl 226.531

## x2.age.tch 189.245

## x2.age.ltg 116.289

## x2.age.glu 68.097

## x2.sex.bmi 72.061

## x2.sex.map 85.756

## x2.sex.tc 486.605

## x2.sex.ldl -398.863

## x2.sex.hdl -138.730

## x2.sex.tch -121.222

## x2.sex.ltg -164.984

## x2.sex.glu 49.570

## x2.bmi.map 157.481

## x2.bmi.tc -546.329

## x2.bmi.ldl 441.754

## x2.bmi.hdl 205.163

## x2.bmi.tch -19.199

## x2.bmi.ltg 163.212

## x2.bmi.glu 24.403

## x2.map.tc 343.337

## x2.map.ldl -195.247

## x2.map.hdl -140.694

## x2.map.tch -72.905

## x2.map.ltg -108.989

## x2.map.glu -141.984

## x2.tc.ldl 261.908

## x2.tc.hdl -15.824

## x2.tc.tch -389.119

## x2.tc.ltg -812.977

## x2.tc.glu -161.003

## x2.ldl.hdl -379.558

## x2.ldl.tch -356.594

## x2.ldl.ltg 666.936

## x2.ldl.glu 56.843

## x2.hdl.tch 379.062

## x2.hdl.ltg 155.037

## x2.hdl.glu 225.292

## x2.tch.ltg -182.453

## x2.tch.glu 259.129

## x2.ltg.glu 79.632

##

## , , 38 comps

##

##y

## x2.age 42.793

## x2.sex -257.237

## x2.bmi 446.784

## x2.map 340.378

## x2.tc -139.550

## x2.ldl -35.188

## x2.hdl -187.795

## x2.tch 109.655

## x2.ltg 662.774

## x2.glu 65.871

## x2.age.2 70.113

## x2.bmi.2 56.312

## x2.map.2 -7.357

## x2.tc.2 276.023

## x2.ldl.2 -174.831

## x2.hdl.2 79.252

## x2.tch.2 566.288

## x2.ltg.2 434.616

## x2.glu.2 116.671

## x2.age.sex 163.201

## x2.age.bmi -5.836

## x2.age.map 12.182

## x2.age.tc -188.733

## x2.age.ldl -53.780

## x2.age.hdl 233.718

## x2.age.tch 185.504

## x2.age.ltg 125.460

## x2.age.glu 67.980

## x2.sex.bmi 72.008

## x2.sex.map 86.826

## x2.sex.tc 473.252

## x2.sex.ldl -386.719

## x2.sex.hdl -129.979

## x2.sex.tch -116.319

## x2.sex.ltg -163.460

## x2.sex.glu 51.011

## x2.bmi.map 156.626

## x2.bmi.tc -569.651

## x2.bmi.ldl 474.215

## x2.bmi.hdl 201.375

## x2.bmi.tch -40.771

## x2.bmi.ltg 171.440

## x2.bmi.glu 24.868

## x2.map.tc 372.308

## x2.map.ldl -222.030

## x2.map.hdl -151.126

## x2.map.tch -72.949

## x2.map.ltg -113.756

## x2.map.glu -145.280

## x2.tc.ldl 245.491

## x2.tc.hdl -24.721

## x2.tc.tch -398.957

## x2.tc.ltg -815.372

## x2.tc.glu -152.612

## x2.ldl.hdl -370.241

## x2.ldl.tch -355.272

## x2.ldl.ltg 675.514

## x2.ldl.glu 44.221

## x2.hdl.tch 401.388

## x2.hdl.ltg 146.961

## x2.hdl.glu 224.098

## x2.tch.ltg -197.992

## x2.tch.glu 262.177

## x2.ltg.glu 80.148

##

## , , 39 comps

##

##y

## x2.age 41.252

## x2.sex -259.242

## x2.bmi 445.676

## x2.map 342.056

## x2.tc -141.115

## x2.ldl -34.954

## x2.hdl -186.127

## x2.tch 112.042

## x2.ltg 662.861

## x2.glu 67.058

## x2.age.2 69.288

## x2.bmi.2 53.538

## x2.map.2 -5.534

## x2.tc.2 280.005

## x2.ldl.2 -173.129

## x2.hdl.2 81.780

## x2.tch.2 576.106

## x2.ltg.2 434.531

## x2.glu.2 114.798

## x2.age.sex 165.380

## x2.age.bmi -6.998

## x2.age.map 12.330

## x2.age.tc -195.358

## x2.age.ldl -46.088

## x2.age.hdl 238.061

## x2.age.tch 187.244

## x2.age.ltg 127.190

## x2.age.glu 65.453

## x2.sex.bmi 74.561

## x2.sex.map 85.328

## x2.sex.tc 466.173

## x2.sex.ldl -382.595

## x2.sex.hdl -127.298

## x2.sex.tch -114.784

## x2.sex.ltg -162.710

## x2.sex.glu 51.735

## x2.bmi.map 155.288

## x2.bmi.tc -576.522

## x2.bmi.ldl 485.239

## x2.bmi.hdl 200.244

## x2.bmi.tch -46.251

## x2.bmi.ltg 175.600

## x2.bmi.glu 26.467

## x2.map.tc 381.843

## x2.map.ldl -233.078

## x2.map.hdl -153.229

## x2.map.tch -69.358

## x2.map.ltg -116.382

## x2.map.glu -146.280

## x2.tc.ldl 239.672

## x2.tc.hdl -29.333

## x2.tc.tch -403.393

## x2.tc.ltg -818.434

## x2.tc.glu -147.487

## x2.ldl.hdl -366.282

## x2.ldl.tch -355.395

## x2.ldl.ltg 676.049

## x2.ldl.glu 41.557

## x2.hdl.tch 410.113

## x2.hdl.ltg 144.516

## x2.hdl.glu 224.048

## x2.tch.ltg -201.546

## x2.tch.glu 262.828

## x2.ltg.glu 79.465

##

## , , 40 comps

##

##y

## x2.age 40.150

## x2.sex -258.598

## x2.bmi 447.731

## x2.map 344.120

## x2.tc -143.311

## x2.ldl -34.296

## x2.hdl -183.045

## x2.tch 115.902

## x2.ltg 661.408

## x2.glu 65.785

## x2.age.2 70.766

## x2.bmi.2 50.718

## x2.map.2 -6.247

## x2.tc.2 284.244

## x2.ldl.2 -168.076

## x2.hdl.2 86.382

## x2.tch.2 583.506

## x2.ltg.2 435.934

## x2.glu.2 113.910

## x2.age.sex 167.226

## x2.age.bmi -8.344

## x2.age.map 13.058

## x2.age.tc -205.325

## x2.age.ldl -38.568

## x2.age.hdl 245.597

## x2.age.tch 190.278

## x2.age.ltg 129.102

## x2.age.glu 66.128

## x2.sex.bmi 73.654

## x2.sex.map 83.066

## x2.sex.tc 457.087

## x2.sex.ldl -376.008

## x2.sex.hdl -124.745

## x2.sex.tch -113.096

## x2.sex.ltg -159.455

## x2.sex.glu 50.945

## x2.bmi.map 153.705

## x2.bmi.tc -586.657

## x2.bmi.ldl 494.164

## x2.bmi.hdl 197.713

## x2.bmi.tch -51.638

## x2.bmi.ltg 182.214

## x2.bmi.glu 30.003

## x2.map.tc 391.886

## x2.map.ldl -246.330

## x2.map.hdl -155.381

## x2.map.tch -60.403

## x2.map.ltg -122.487

## x2.map.glu -146.008

## x2.tc.ldl 233.024

## x2.tc.hdl -37.140

## x2.tc.tch -411.109

## x2.tc.ltg -819.439

## x2.tc.glu -142.527

## x2.ldl.hdl -364.799

## x2.ldl.tch -355.557

## x2.ldl.ltg 680.392

## x2.ldl.glu 37.233

## x2.hdl.tch 421.077

## x2.hdl.ltg 146.457

## x2.hdl.glu 221.965

## x2.tch.ltg -204.555

## x2.tch.glu 261.088

## x2.ltg.glu 78.607

##

## , , 41 comps

##

##y

## x2.age 41.470

## x2.sex -259.354

## x2.bmi 448.475

## x2.map 341.256

## x2.tc -147.459

## x2.ldl -34.791

## x2.hdl -179.376

## x2.tch 122.662

## x2.ltg 661.686

## x2.glu 67.571

## x2.age.2 69.278

## x2.bmi.2 47.909

## x2.map.2 -3.631

## x2.tc.2 290.009

## x2.ldl.2 -158.276

## x2.hdl.2 95.838

## x2.tch.2 592.273

## x2.ltg.2 438.490

## x2.glu.2 115.635

## x2.age.sex 165.285

## x2.age.bmi -6.239

## x2.age.map 14.024

## x2.age.tc -220.885

## x2.age.ldl -29.026

## x2.age.hdl 252.968

## x2.age.tch 197.158

## x2.age.ltg 131.927

## x2.age.glu 66.294

## x2.sex.bmi 70.584

## x2.sex.map 83.525

## x2.sex.tc 445.355

## x2.sex.ldl -366.548

## x2.sex.hdl -118.636

## x2.sex.tch -113.941

## x2.sex.ltg -149.927

## x2.sex.glu 52.301

## x2.bmi.map 155.343

## x2.bmi.tc -597.589

## x2.bmi.ldl 505.907

## x2.bmi.hdl 197.830

## x2.bmi.tch -56.591

## x2.bmi.ltg 189.391

## x2.bmi.glu 28.878

## x2.map.tc 407.068

## x2.map.ldl -263.856

## x2.map.hdl -153.531

## x2.map.tch -48.967

## x2.map.ltg -133.144

## x2.map.glu -147.307

## x2.tc.ldl 224.585

## x2.tc.hdl -46.888

## x2.tc.tch -424.430

## x2.tc.ltg -822.007

## x2.tc.glu -135.848

## x2.ldl.hdl -361.516

## x2.ldl.tch -356.714

## x2.ldl.ltg 686.462

## x2.ldl.glu 31.673

## x2.hdl.tch 434.099

## x2.hdl.ltg 149.422

## x2.hdl.glu 218.027

## x2.tch.ltg -205.264

## x2.tch.glu 258.500

## x2.ltg.glu 74.558

##

## , , 42 comps

##

##y

## x2.age 41.596

## x2.sex -259.799

## x2.bmi 447.911

## x2.map 343.957

## x2.tc -149.593

## x2.ldl -34.342

## x2.hdl -175.197

## x2.tch 126.490

## x2.ltg 660.993

## x2.glu 65.965

## x2.age.2 69.891

## x2.bmi.2 50.740

## x2.map.2 -4.900

## x2.tc.2 292.120

## x2.ldl.2 -149.840

## x2.hdl.2 101.821

## x2.tch.2 598.468

## x2.ltg.2 443.277

## x2.glu.2 119.574

## x2.age.sex 163.782

## x2.age.bmi -7.575

## x2.age.map 15.981

## x2.age.tc -231.123

## x2.age.ldl -21.493

## x2.age.hdl 256.797

## x2.age.tch 200.771

## x2.age.ltg 133.263

## x2.age.glu 65.410

## x2.sex.bmi 72.094

## x2.sex.map 86.832

## x2.sex.tc 435.862

## x2.sex.ldl -357.893

## x2.sex.hdl -116.665

## x2.sex.tch -115.694

## x2.sex.ltg -146.407

## x2.sex.glu 50.094

## x2.bmi.map 156.730

## x2.bmi.tc -602.818

## x2.bmi.ldl 512.276

## x2.bmi.hdl 202.881

## x2.bmi.tch -56.936

## x2.bmi.ltg 192.489

## x2.bmi.glu 24.289

## x2.map.tc 416.775

## x2.map.ldl -275.012

## x2.map.hdl -153.750

## x2.map.tch -44.404

## x2.map.ltg -138.830

## x2.map.glu -147.648

## x2.tc.ldl 218.373

## x2.tc.hdl -54.131

## x2.tc.tch -434.029

## x2.tc.ltg -825.865

## x2.tc.glu -131.208

## x2.ldl.hdl -358.240

## x2.ldl.tch -355.559

## x2.ldl.ltg 689.153

## x2.ldl.glu 27.812

## x2.hdl.tch 442.595

## x2.hdl.ltg 152.964

## x2.hdl.glu 214.024

## x2.tch.ltg -204.450

## x2.tch.glu 256.992

## x2.ltg.glu 72.400

##

## , , 43 comps

##

##y

## x2.age 39.668

## x2.sex -259.468

## x2.bmi 447.015

## x2.map 344.884

## x2.tc -154.122

## x2.ldl -33.340

## x2.hdl -169.028

## x2.tch 131.839

## x2.ltg 663.186

## x2.glu 66.241

## x2.age.2 67.645

## x2.bmi.2 51.991

## x2.map.2 -4.009

## x2.tc.2 292.378

## x2.ldl.2 -136.479

## x2.hdl.2 112.026

## x2.tch.2 608.678

## x2.ltg.2 447.875

## x2.glu.2 122.694

## x2.age.sex 167.065

## x2.age.bmi -6.947

## x2.age.map 16.637

## x2.age.tc -245.180

## x2.age.ldl -10.072

## x2.age.hdl 262.466

## x2.age.tch 199.568

## x2.age.ltg 142.330

## x2.age.glu 62.679

## x2.sex.bmi 69.608

## x2.sex.map 85.582

## x2.sex.tc 421.069

## x2.sex.ldl -342.224

## x2.sex.hdl -114.080

## x2.sex.tch -119.005

## x2.sex.ltg -137.815

## x2.sex.glu 47.101

## x2.bmi.map 156.325

## x2.bmi.tc -610.614

## x2.bmi.ldl 516.856

## x2.bmi.hdl 213.117

## x2.bmi.tch -48.324

## x2.bmi.ltg 193.592

## x2.bmi.glu 22.985

## x2.map.tc 431.987

## x2.map.ldl -288.215

## x2.map.hdl -162.701

## x2.map.tch -45.040

## x2.map.ltg -146.449

## x2.map.glu -146.133

## x2.tc.ldl 206.988

## x2.tc.hdl -63.902

## x2.tc.tch -449.940

## x2.tc.ltg -836.100

## x2.tc.glu -123.148

## x2.ldl.hdl -348.869

## x2.ldl.tch -348.769

## x2.ldl.ltg 699.880

## x2.ldl.glu 20.325

## x2.hdl.tch 457.406

## x2.hdl.ltg 160.077

## x2.hdl.glu 207.809

## x2.tch.ltg -199.618

## x2.tch.glu 252.571

## x2.ltg.glu 70.141

##

## , , 44 comps

##

##y

## x2.age 42.823

## x2.sex -260.541

## x2.bmi 447.603

## x2.map 342.357

## x2.tc -161.002

## x2.ldl -31.837

## x2.hdl -159.561

## x2.tch 139.407

## x2.ltg 667.697

## x2.glu 67.185

## x2.age.2 70.661

## x2.bmi.2 52.693

## x2.map.2 -3.684

## x2.tc.2 291.327

## x2.ldl.2 -115.394

## x2.hdl.2 128.174

## x2.tch.2 622.221

## x2.ltg.2 458.901

## x2.glu.2 120.882

## x2.age.sex 168.061

## x2.age.bmi -6.635

## x2.age.map 13.342

## x2.age.tc -267.123

## x2.age.ldl 9.451

## x2.age.hdl 269.070

## x2.age.tch 196.604

## x2.age.ltg 150.983

## x2.age.glu 63.669

## x2.sex.bmi 69.632

## x2.sex.map 85.139

## x2.sex.tc 396.089

## x2.sex.ldl -318.405

## x2.sex.hdl -110.421

## x2.sex.tch -124.053

## x2.sex.ltg -129.863

## x2.sex.glu 50.948

## x2.bmi.map 156.050

## x2.bmi.tc -625.101

## x2.bmi.ldl 519.928

## x2.bmi.hdl 226.267

## x2.bmi.tch -33.535

## x2.bmi.ltg 195.087

## x2.bmi.glu 22.014

## x2.map.tc 458.612

## x2.map.ldl -306.994

## x2.map.hdl -175.195

## x2.map.tch -50.281

## x2.map.ltg -154.546

## x2.map.glu -144.396

## x2.tc.ldl 188.069

## x2.tc.hdl -81.084

## x2.tc.tch -474.156

## x2.tc.ltg -851.955

## x2.tc.glu -107.136

## x2.ldl.hdl -335.169

## x2.ldl.tch -336.292

## x2.ldl.ltg 717.014

## x2.ldl.glu 11.246

## x2.hdl.tch 481.901

## x2.hdl.ltg 170.958

## x2.hdl.glu 200.309

## x2.tch.ltg -191.473

## x2.tch.glu 244.896

## x2.ltg.glu 64.773

##

## , , 45 comps

##

##y

## x2.age 40.716

## x2.sex -260.011

## x2.bmi 449.255

## x2.map 344.075

## x2.tc -164.898

## x2.ldl -30.610

## x2.hdl -155.269

## x2.tch 141.802

## x2.ltg 669.522

## x2.glu 66.936

## x2.age.2 69.898

## x2.bmi.2 49.945

## x2.map.2 -3.770

## x2.tc.2 291.339

## x2.ldl.2 -104.071

## x2.hdl.2 139.848

## x2.tch.2 626.765

## x2.ltg.2 465.062

## x2.glu.2 118.738

## x2.age.sex 163.770

## x2.age.bmi -7.352

## x2.age.map 15.290

## x2.age.tc -277.859

## x2.age.ldl 18.857

## x2.age.hdl 268.135

## x2.age.tch 197.539

## x2.age.ltg 151.937

## x2.age.glu 63.896

## x2.sex.bmi 69.274

## x2.sex.map 87.974

## x2.sex.tc 385.759

## x2.sex.ldl -308.834

## x2.sex.hdl -106.078

## x2.sex.tch -124.205

## x2.sex.ltg -124.456

## x2.sex.glu 50.531

## x2.bmi.map 155.173

## x2.bmi.tc -630.766

## x2.bmi.ldl 521.350

## x2.bmi.hdl 232.014

## x2.bmi.tch -28.383

## x2.bmi.ltg 193.332

## x2.bmi.glu 27.610

## x2.map.tc 473.160

## x2.map.ldl -316.280

## x2.map.hdl -182.076

## x2.map.tch -56.214

## x2.map.ltg -156.853

## x2.map.glu -146.910

## x2.tc.ldl 177.893

## x2.tc.hdl -89.592

## x2.tc.tch -486.449

## x2.tc.ltg -860.315

## x2.tc.glu -98.568

## x2.ldl.hdl -328.210

## x2.ldl.tch -328.949

## x2.ldl.ltg 726.295

## x2.ldl.glu 4.209

## x2.hdl.tch 494.764

## x2.hdl.ltg 177.420

## x2.hdl.glu 195.292

## x2.tch.ltg -186.823

## x2.tch.glu 242.880

## x2.ltg.glu 61.675

##

## , , 46 comps

##

##y

## x2.age 42.293

## x2.sex -260.766

## x2.bmi 448.186

## x2.map 344.278

## x2.tc -168.545

## x2.ldl -28.328

## x2.hdl -153.155

## x2.tch 143.063

## x2.ltg 670.066

## x2.glu 67.415

## x2.age.2 70.575

## x2.bmi.2 49.223

## x2.map.2 -5.421

## x2.tc.2 291.575

## x2.ldl.2 -94.638

## x2.hdl.2 150.866

## x2.tch.2 630.442

## x2.ltg.2 469.393

## x2.glu.2 118.362

## x2.age.sex 163.689

## x2.age.bmi -9.517

## x2.age.map 16.991

## x2.age.tc -284.370

## x2.age.ldl 25.025

## x2.age.hdl 270.302

## x2.age.tch 198.782

## x2.age.ltg 149.932

## x2.age.glu 65.231

## x2.sex.bmi 68.855

## x2.sex.map 86.915

## x2.sex.tc 378.703

## x2.sex.ldl -305.249

## x2.sex.hdl -98.746

## x2.sex.tch -120.042

## x2.sex.ltg -118.735

## x2.sex.glu 48.652

## x2.bmi.map 158.404

## x2.bmi.tc -633.625

## x2.bmi.ldl 521.288

## x2.bmi.hdl 235.896

## x2.bmi.tch -24.036

## x2.bmi.ltg 192.026

## x2.bmi.glu 29.564

## x2.map.tc 485.098

## x2.map.ldl -325.805

## x2.map.hdl -189.601

## x2.map.tch -60.643

## x2.map.ltg -157.016

## x2.map.glu -149.497

## x2.tc.ldl 168.176

## x2.tc.hdl -97.347

## x2.tc.tch -495.832

## x2.tc.ltg -868.052

## x2.tc.glu -89.824

## x2.ldl.hdl -321.532

## x2.ldl.tch -321.668

## x2.ldl.ltg 733.810

## x2.ldl.glu -4.081

## x2.hdl.tch 505.968

## x2.hdl.ltg 185.190

## x2.hdl.glu 192.126

## x2.tch.ltg -181.555

## x2.tch.glu 244.401

## x2.ltg.glu 57.629

##

## , , 47 comps

##

##y

## x2.age 40.342

## x2.sex -261.003

## x2.bmi 446.882

## x2.map 345.881

## x2.tc -172.759

## x2.ldl -23.843

## x2.hdl -151.248

## x2.tch 142.822

## x2.ltg 672.526

## x2.glu 68.645

## x2.age.2 68.319

## x2.bmi.2 50.287

## x2.map.2 -7.957

## x2.tc.2 292.640

## x2.ldl.2 -82.593

## x2.hdl.2 167.545

## x2.tch.2 632.412

## x2.ltg.2 474.354

## x2.glu.2 120.345

## x2.age.sex 163.131

## x2.age.bmi -9.323

## x2.age.map 18.689

## x2.age.tc -290.608

## x2.age.ldl 28.777

## x2.age.hdl 272.860

## x2.age.tch 202.442

## x2.age.ltg 150.833

## x2.age.glu 64.323

## x2.sex.bmi 68.804

## x2.sex.map 87.670

## x2.sex.tc 368.500

## x2.sex.ldl -302.411

## x2.sex.hdl -89.639

## x2.sex.tch -109.268

## x2.sex.ltg -119.466

## x2.sex.glu 51.316

## x2.bmi.map 158.262

## x2.bmi.tc -636.153

## x2.bmi.ldl 519.697

## x2.bmi.hdl 238.055

## x2.bmi.tch -19.857

## x2.bmi.ltg 191.594

## x2.bmi.glu 28.220

## x2.map.tc 502.080

## x2.map.ldl -336.776

## x2.map.hdl -197.985

## x2.map.tch -65.866

## x2.map.ltg -162.608

## x2.map.glu -148.129

## x2.tc.ldl 153.616

## x2.tc.hdl -109.702

## x2.tc.tch -507.849

## x2.tc.ltg -878.504

## x2.tc.glu -76.486

## x2.ldl.hdl -312.075

## x2.ldl.tch -310.608

## x2.ldl.ltg 746.140

## x2.ldl.glu -18.334

## x2.hdl.tch 522.190

## x2.hdl.ltg 194.793

## x2.hdl.glu 189.824

## x2.tch.ltg -172.685

## x2.tch.glu 246.491

## x2.ltg.glu 50.840

##

## , , 48 comps

##

##y

## x2.age 42.529

## x2.sex -260.328

## x2.bmi 447.700

## x2.map 344.790

## x2.tc -175.947

## x2.ldl -20.389

## x2.hdl -150.620

## x2.tch 141.746

## x2.ltg 675.281

## x2.glu 66.587

## x2.age.2 70.396

## x2.bmi.2 50.482

## x2.map.2 -5.832

## x2.tc.2 294.108

## x2.ldl.2 -73.590

## x2.hdl.2 179.935

## x2.tch.2 631.906

## x2.ltg.2 478.039

## x2.glu.2 120.989

## x2.age.sex 163.169

## x2.age.bmi -8.782

## x2.age.map 17.978

## x2.age.tc -294.042

## x2.age.ldl 29.149

## x2.age.hdl 274.876

## x2.age.tch 204.899

## x2.age.ltg 153.098

## x2.age.glu 61.984

## x2.sex.bmi 68.490

## x2.sex.map 90.272

## x2.sex.tc 362.044

## x2.sex.ldl -299.931

## x2.sex.hdl -84.545

## x2.sex.tch -100.787

## x2.sex.ltg -120.431

## x2.sex.glu 48.847

## x2.bmi.map 157.070

## x2.bmi.tc -635.789

## x2.bmi.ldl 519.992

## x2.bmi.hdl 239.903

## x2.bmi.tch -18.685

## x2.bmi.ltg 191.067

## x2.bmi.glu 27.947

## x2.map.tc 513.512

## x2.map.ldl -345.767

## x2.map.hdl -204.083

## x2.map.tch -69.758

## x2.map.ltg -166.956

## x2.map.glu -146.685

## x2.tc.ldl 142.824

## x2.tc.hdl -119.956

## x2.tc.tch -517.172

## x2.tc.ltg -887.801

## x2.tc.glu -65.891

## x2.ldl.hdl -304.321

## x2.ldl.tch -302.303

## x2.ldl.ltg 754.699

## x2.ldl.glu -27.854

## x2.hdl.tch 534.261

## x2.hdl.ltg 199.347

## x2.hdl.glu 186.267

## x2.tch.ltg -166.302

## x2.tch.glu 248.431

## x2.ltg.glu 45.628

##

## , , 49 comps

##

##y

## x2.age 41.634

## x2.sex -259.114

## x2.bmi 448.057

## x2.map 343.610

## x2.tc -177.125

## x2.ldl -18.652

## x2.hdl -150.732

## x2.tch 140.798

## x2.ltg 676.371

## x2.glu 67.152

## x2.age.2 69.282

## x2.bmi.2 51.003

## x2.map.2 -6.128

## x2.tc.2 296.238

## x2.ldl.2 -70.377

## x2.hdl.2 183.906

## x2.tch.2 631.469

## x2.ltg.2 480.856

## x2.glu.2 120.904

## x2.age.sex 164.122

## x2.age.bmi -8.528

## x2.age.map 16.893

## x2.age.tc -293.455

## x2.age.ldl 27.742

## x2.age.hdl 276.020

## x2.age.tch 205.827

## x2.age.ltg 154.118

## x2.age.glu 62.861

## x2.sex.bmi 70.631

## x2.sex.map 90.095

## x2.sex.tc 360.226

## x2.sex.ldl -299.270

## x2.sex.hdl -83.838

## x2.sex.tch -100.109

## x2.sex.ltg -120.283

## x2.sex.glu 46.957

## x2.bmi.map 157.586

## x2.bmi.tc -636.023

## x2.bmi.ldl 520.287

## x2.bmi.hdl 239.131

## x2.bmi.tch -19.538

## x2.bmi.ltg 189.371

## x2.bmi.glu 27.796

## x2.map.tc 518.372

## x2.map.ldl -348.702

## x2.map.hdl -205.356

## x2.map.tch -71.019

## x2.map.ltg -167.871

## x2.map.glu -146.265

## x2.tc.ldl 138.196

## x2.tc.hdl -125.326

## x2.tc.tch -521.685

## x2.tc.ltg -891.413

## x2.tc.glu -61.901

## x2.ldl.hdl -300.615

## x2.ldl.tch -298.317

## x2.ldl.ltg 757.651

## x2.ldl.glu -30.487

## x2.hdl.tch 537.638

## x2.hdl.ltg 200.968

## x2.hdl.glu 183.172

## x2.tch.ltg -164.911

## x2.tch.glu 247.847

## x2.ltg.glu 42.717

##

## , , 50 comps

##

##y

## x2.age 41.881

## x2.sex -260.019

## x2.bmi 449.095

## x2.map 344.147

## x2.tc -181.763

## x2.ldl -11.724

## x2.hdl -152.394

## x2.tch 136.828

## x2.ltg 675.441

## x2.glu 68.919

## x2.age.2 67.232

## x2.bmi.2 51.084

## x2.map.2 -6.218

## x2.tc.2 305.660

## x2.ldl.2 -64.314

## x2.hdl.2 191.870

## x2.tch.2 635.245

## x2.ltg.2 488.363

## x2.glu.2 119.992

## x2.age.sex 165.927

## x2.age.bmi -6.774

## x2.age.map 17.152

## x2.age.tc -288.390

## x2.age.ldl 22.066

## x2.age.hdl 278.573

## x2.age.tch 207.980

## x2.age.ltg 151.902

## x2.age.glu 64.780

## x2.sex.bmi 68.701

## x2.sex.map 92.466

## x2.sex.tc 357.749

## x2.sex.ldl -295.709

## x2.sex.hdl -85.602

## x2.sex.tch -101.483

## x2.sex.ltg -120.967

## x2.sex.glu 47.212

## x2.bmi.map 158.342

## x2.bmi.tc -633.194

## x2.bmi.ldl 520.732

## x2.bmi.hdl 237.563

## x2.bmi.tch -22.571

## x2.bmi.ltg 188.702

## x2.bmi.glu 27.748

## x2.map.tc 528.642

## x2.map.ldl -358.086

## x2.map.hdl -210.502

## x2.map.tch -72.482

## x2.map.ltg -170.532

## x2.map.glu -146.444

## x2.tc.ldl 122.956

## x2.tc.hdl -141.492

## x2.tc.tch -537.264

## x2.tc.ltg -902.269

## x2.tc.glu -50.025

## x2.ldl.hdl -284.752

## x2.ldl.tch -285.361

## x2.ldl.ltg 767.621

## x2.ldl.glu -38.059

## x2.hdl.tch 541.978

## x2.hdl.ltg 207.654

## x2.hdl.glu 174.412

## x2.tch.ltg -161.593

## x2.tch.glu 243.201

## x2.ltg.glu 35.656

##

## , , 51 comps

##

##y

## x2.age 42.448

## x2.sex -260.867

## x2.bmi 446.177

## x2.map 345.554

## x2.tc -192.259

## x2.ldl 1.281

## x2.hdl -155.279

## x2.tch 127.398

## x2.ltg 681.223

## x2.glu 67.294

## x2.age.2 69.429

## x2.bmi.2 51.282

## x2.map.2 -4.951

## x2.tc.2 329.912

## x2.ldl.2 -52.712

## x2.hdl.2 206.552

## x2.tch.2 646.396

## x2.ltg.2 500.579

## x2.glu.2 121.058

## x2.age.sex 163.905

## x2.age.bmi -7.385

## x2.age.map 16.589

## x2.age.tc -277.231

## x2.age.ldl 8.518

## x2.age.hdl 276.931

## x2.age.tch 214.294

## x2.age.ltg 146.233

## x2.age.glu 63.862

## x2.sex.bmi 69.765

## x2.sex.map 91.736

## x2.sex.tc 354.981

## x2.sex.ldl -289.580

## x2.sex.hdl -87.763

## x2.sex.tch -108.393

## x2.sex.ltg -117.489

## x2.sex.glu 47.197

## x2.bmi.map 157.145

## x2.bmi.tc -629.822

## x2.bmi.ldl 519.493

## x2.bmi.hdl 228.476

## x2.bmi.tch -26.040

## x2.bmi.ltg 186.282

## x2.bmi.glu 26.698

## x2.map.tc 551.687

## x2.map.ldl -376.950

## x2.map.hdl -220.065

## x2.map.tch -73.515

## x2.map.ltg -179.995

## x2.map.glu -145.659

## x2.tc.ldl 87.511

## x2.tc.hdl -180.092

## x2.tc.tch -572.459

## x2.tc.ltg -926.400

## x2.tc.glu -21.884

## x2.ldl.hdl -247.836

## x2.ldl.tch -255.366

## x2.ldl.ltg 789.438

## x2.ldl.glu -58.133

## x2.hdl.tch 549.623

## x2.hdl.ltg 227.126

## x2.hdl.glu 158.315

## x2.tch.ltg -155.475

## x2.tch.glu 231.685

## x2.ltg.glu 26.064

##

## , , 52 comps

##

##y

## x2.age 42.340

## x2.sex -260.184

## x2.bmi 445.366

## x2.map 344.804

## x2.tc -194.449

## x2.ldl 4.596

## x2.hdl -153.969

## x2.tch 124.406

## x2.ltg 684.572

## x2.glu 67.819

## x2.age.2 69.819

## x2.bmi.2 52.326

## x2.map.2 -4.712

## x2.tc.2 337.889

## x2.ldl.2 -49.629

## x2.hdl.2 210.945

## x2.tch.2 648.287

## x2.ltg.2 504.682

## x2.glu.2 120.984

## x2.age.sex 165.105

## x2.age.bmi -6.728

## x2.age.map 17.752

## x2.age.tc -273.416

## x2.age.ldl 6.066

## x2.age.hdl 275.715

## x2.age.tch 214.385

## x2.age.ltg 143.521

## x2.age.glu 61.936

## x2.sex.bmi 68.865

## x2.sex.map 91.971

## x2.sex.tc 353.069

## x2.sex.ldl -289.102

## x2.sex.hdl -90.135

## x2.sex.tch -110.288

## x2.sex.ltg -116.180

## x2.sex.glu 47.260

## x2.bmi.map 158.512

## x2.bmi.tc -629.285

## x2.bmi.ldl 518.413

## x2.bmi.hdl 227.340

## x2.bmi.tch -28.331

## x2.bmi.ltg 186.109

## x2.bmi.glu 27.066

## x2.map.tc 557.799

## x2.map.ldl -381.386

## x2.map.hdl -222.309

## x2.map.tch -73.216

## x2.map.ltg -183.968

## x2.map.glu -147.463

## x2.tc.ldl 76.176

## x2.tc.hdl -193.229

## x2.tc.tch -582.512

## x2.tc.ltg -933.396

## x2.tc.glu -12.924

## x2.ldl.hdl -238.436

## x2.ldl.tch -245.858

## x2.ldl.ltg 795.012

## x2.ldl.glu -63.850

## x2.hdl.tch 552.109

## x2.hdl.ltg 232.381

## x2.hdl.glu 155.020

## x2.tch.ltg -153.844

## x2.tch.glu 229.368

## x2.ltg.glu 25.255

##

## , , 53 comps

##

##y

## x2.age 42.216

## x2.sex -259.832

## x2.bmi 447.884

## x2.map 344.363

## x2.tc -206.317

## x2.ldl 14.460

## x2.hdl -148.748

## x2.tch 124.594

## x2.ltg 687.001

## x2.glu 68.602

## x2.age.2 68.446

## x2.bmi.2 52.472

## x2.map.2 -4.754

## x2.tc.2 376.699

## x2.ldl.2 -44.463

## x2.hdl.2 231.495

## x2.tch.2 646.662

## x2.ltg.2 514.979

## x2.glu.2 115.033

## x2.age.sex 164.958

## x2.age.bmi -7.632

## x2.age.map 19.063

## x2.age.tc -261.642

## x2.age.ldl 3.626

## x2.age.hdl 264.375

## x2.age.tch 200.877

## x2.age.ltg 141.794

## x2.age.glu 63.830

## x2.sex.bmi 71.888

## x2.sex.map 90.786

## x2.sex.tc 352.666

## x2.sex.ldl -286.549

## x2.sex.hdl -89.170

## x2.sex.tch -114.033

## x2.sex.ltg -115.701

## x2.sex.glu 47.603

## x2.bmi.map 159.873

## x2.bmi.tc -629.496

## x2.bmi.ldl 519.420

## x2.bmi.hdl 232.519

## x2.bmi.tch -28.021

## x2.bmi.ltg 185.569

## x2.bmi.glu 26.300

## x2.map.tc 565.444

## x2.map.ldl -394.950

## x2.map.hdl -219.965

## x2.map.tch -60.969

## x2.map.ltg -191.735

## x2.map.glu -146.011

## x2.tc.ldl 35.119

## x2.tc.hdl -231.938

## x2.tc.tch -616.732

## x2.tc.ltg -958.289

## x2.tc.glu 2.823

## x2.ldl.hdl -208.206

## x2.ldl.tch -210.718

## x2.ldl.ltg 812.192

## x2.ldl.glu -80.931

## x2.hdl.tch 558.307

## x2.hdl.ltg 246.019

## x2.hdl.glu 151.060

## x2.tch.ltg -149.169

## x2.tch.glu 235.148

## x2.ltg.glu 23.159

##

## , , 54 comps

##

##y

## x2.age 41.190

## x2.sex -261.948

## x2.bmi 444.328

## x2.map 347.708

## x2.tc -219.511

## x2.ldl 24.261

## x2.hdl -144.943

## x2.tch 127.786

## x2.ltg 690.461

## x2.glu 69.520

## x2.age.2 70.020

## x2.bmi.2 53.506

## x2.map.2 -5.035

## x2.tc.2 421.207

## x2.ldl.2 -39.256

## x2.hdl.2 252.110

## x2.tch.2 640.714

## x2.ltg.2 528.293

## x2.glu.2 117.989

## x2.age.sex 166.059

## x2.age.bmi -7.884

## x2.age.map 17.413

## x2.age.tc -250.250

## x2.age.ldl 2.333

## x2.age.hdl 251.554

## x2.age.tch 186.106

## x2.age.ltg 140.125

## x2.age.glu 62.401

## x2.sex.bmi 69.154

## x2.sex.map 90.283

## x2.sex.tc 350.822

## x2.sex.ldl -285.103

## x2.sex.hdl -90.151

## x2.sex.tch -115.542

## x2.sex.ltg -112.940

## x2.sex.glu 48.165

## x2.bmi.map 159.106

## x2.bmi.tc -633.608

## x2.bmi.ldl 522.164

## x2.bmi.hdl 233.747

## x2.bmi.tch -25.731

## x2.bmi.ltg 185.026

## x2.bmi.glu 28.514

## x2.map.tc 572.241

## x2.map.ldl -407.543

## x2.map.hdl -216.726

## x2.map.tch -51.125

## x2.map.ltg -194.084

## x2.map.glu -145.728

## x2.tc.ldl -9.563

## x2.tc.hdl -275.162

## x2.tc.tch -653.051

## x2.tc.ltg -983.369

## x2.tc.glu 15.702

## x2.ldl.hdl -177.325

## x2.ldl.tch -173.511

## x2.ldl.ltg 828.535

## x2.ldl.glu -93.144

## x2.hdl.tch 567.046

## x2.hdl.ltg 258.479

## x2.hdl.glu 149.002

## x2.tch.ltg -143.889

## x2.tch.glu 239.340

## x2.ltg.glu 11.999

##

## , , 55 comps

##

## y

## x2.age 42.8981

## x2.sex -259.2564

## x2.bmi 450.4031

## x2.map 344.7063

## x2.tc -245.1746

## x2.ldl 44.0218

## x2.hdl -125.5869

## x2.tch 132.8328

## x2.ltg 695.0194

## x2.glu 68.7811

## x2.age.2 68.6420

## x2.bmi.2 46.8819

## x2.map.2 -4.3501

## x2.tc.2 530.9276

## x2.ldl.2 -32.3485

## x2.hdl.2 290.0069

## x2.tch.2 636.9289

## x2.ltg.2 542.1306

## x2.glu.2 124.0101

## x2.age.sex 164.1827

## x2.age.bmi -11.3542

## x2.age.map 18.8644

## x2.age.tc -238.2398

## x2.age.ldl -8.3725

## x2.age.hdl 246.9404

## x2.age.tch 185.0929

## x2.age.ltg 140.7556

## x2.age.glu 63.3675

## x2.sex.bmi 68.7425

## x2.sex.map 91.3770

## x2.sex.tc 342.5690

## x2.sex.ldl -279.8574

## x2.sex.hdl -87.4422

## x2.sex.tch -110.5403

## x2.sex.ltg -113.2097

## x2.sex.glu 48.8234

## x2.bmi.map 163.0637

## x2.bmi.tc -650.7648

## x2.bmi.ldl 536.3824

## x2.bmi.hdl 240.3342

## x2.bmi.tch -19.6446

## x2.bmi.ltg 189.8215

## x2.bmi.glu 31.3687

## x2.map.tc 573.6732

## x2.map.ldl -407.2117

## x2.map.hdl -217.3808

## x2.map.tch -52.7170

## x2.map.ltg -196.0404

## x2.map.glu -148.4237

## x2.tc.ldl -113.5406

## x2.tc.hdl -372.4598

## x2.tc.tch -723.0736

## x2.tc.ltg -1034.4098

## x2.tc.glu 26.7034

## x2.ldl.hdl -108.5908

## x2.ldl.tch -103.0563

## x2.ldl.ltg 843.5857

## x2.ldl.glu -104.5847

## x2.hdl.tch 584.8101

## x2.hdl.ltg 296.0898

## x2.hdl.glu 148.8325

## x2.tch.ltg -111.4464

## x2.tch.glu 242.1225

## x2.ltg.glu 0.6562

##

## , , 56 comps

##

## y

## x2.age 43.6300

## x2.sex -260.6091

## x2.bmi 448.1230

## x2.map 346.4937

## x2.tc -355.8438

## x2.ldl 128.3629

## x2.hdl -66.6723

## x2.tch 165.7506

## x2.ltg 723.4013

## x2.glu 70.3426

## x2.age.2 67.4059

## x2.bmi.2 47.0100

## x2.map.2 -5.2505

## x2.tc.2 991.9080

## x2.ldl.2 0.3614

## x2.hdl.2 475.0030

## x2.tch.2 599.7368

## x2.ltg.2 583.7103

## x2.glu.2 117.3202

## x2.age.sex 162.4047

## x2.age.bmi -6.0953

## x2.age.map 14.6038

## x2.age.tc -196.6260

## x2.age.ldl -47.2433

## x2.age.hdl 238.4075

## x2.age.tch 194.1658

## x2.age.ltg 123.4949

## x2.age.glu 64.0171

## x2.sex.bmi 67.5035

## x2.sex.map 92.1445

## x2.sex.tc 311.9650

## x2.sex.ldl -256.2001

## x2.sex.hdl -70.4017

## x2.sex.tch -102.9763

## x2.sex.ltg -101.5525

## x2.sex.glu 49.9728

## x2.bmi.map 156.6281

## x2.bmi.tc -720.2122

## x2.bmi.ldl 594.0346

## x2.bmi.hdl 273.8081

## x2.bmi.tch -17.5552

## x2.bmi.ltg 224.6191

## x2.bmi.glu 28.0496

## x2.map.tc 571.8580

## x2.map.ldl -398.8223

## x2.map.hdl -229.1490

## x2.map.tch -72.5407

## x2.map.ltg -185.4677

## x2.map.glu -144.3367

## x2.tc.ldl -543.5534

## x2.tc.hdl -770.8746

## x2.tc.tch -1014.7444

## x2.tc.ltg -1244.6893

## x2.tc.glu 69.1742

## x2.ldl.hdl 160.0511

## x2.ldl.tch 185.9800

## x2.ldl.ltg 915.1307

## x2.ldl.glu -143.5825

## x2.hdl.tch 660.9805

## x2.hdl.ltg 445.8157

## x2.hdl.glu 131.7842

## x2.tch.ltg 20.9305

## x2.tch.glu 244.0205

## x2.ltg.glu -11.3878

##

## , , 57 comps

##

##y

## x2.age 43.009

## x2.sex -259.980

## x2.bmi 447.008

## x2.map 344.338

## x2.tc -424.728

## x2.ldl 229.041

## x2.hdl -91.465

## x2.tch 86.770

## x2.ltg 760.670

## x2.glu 71.215

## x2.age.2 66.084

## x2.bmi.2 45.369

## x2.map.2 -7.006

## x2.tc.2 1305.998

## x2.ldl.2 71.934

## x2.hdl.2 639.197

## x2.tch.2 620.561

## x2.ltg.2 618.175

## x2.glu.2 116.980

## x2.age.sex 162.724

## x2.age.bmi -9.651

## x2.age.map 15.303

## x2.age.tc -194.455

## x2.age.ldl -38.381

## x2.age.hdl 227.354

## x2.age.tch 179.398

## x2.age.ltg 125.039

## x2.age.glu 64.511

## x2.sex.bmi 66.663

## x2.sex.map 90.769

## x2.sex.tc 293.345

## x2.sex.ldl -249.744

## x2.sex.hdl -56.295

## x2.sex.tch -91.625

## x2.sex.ltg -95.160

## x2.sex.glu 50.778

## x2.bmi.map 158.372

## x2.bmi.tc -747.548

## x2.bmi.ldl 617.043

## x2.bmi.hdl 287.071

## x2.bmi.tch -16.279

## x2.bmi.ltg 238.664

## x2.bmi.glu 28.767

## x2.map.tc 539.067

## x2.map.ldl -377.450

## x2.map.hdl -209.595

## x2.map.tch -60.330

## x2.map.ltg -173.038

## x2.map.glu -145.201

## x2.tc.ldl -884.220

## x2.tc.hdl -1065.765

## x2.tc.tch -1229.079

## x2.tc.ltg -1380.889

## x2.tc.glu 60.421

## x2.ldl.hdl 357.765

## x2.ldl.tch 367.613

## x2.ldl.ltg 969.765

## x2.ldl.glu -132.721

## x2.hdl.tch 741.360

## x2.hdl.ltg 546.939

## x2.hdl.glu 129.696

## x2.tch.ltg 108.677

## x2.tch.glu 236.825

## x2.ltg.glu -5.083

##

## , , 58 comps

##

##y

## x2.age 46.562

## x2.sex -258.595

## x2.bmi 450.298

## x2.map 340.258

## x2.tc -687.896

## x2.ldl 454.113

## x2.hdl 12.896

## x2.tch 103.453

## x2.ltg 838.986

## x2.glu 71.790

## x2.age.2 66.160

## x2.bmi.2 48.237

## x2.map.2 -8.077

## x2.tc.2 2251.409

## x2.ldl.2 462.087

## x2.hdl.2 1220.718

## x2.tch.2 836.199

## x2.ltg.2 699.298

## x2.glu.2 117.979

## x2.age.sex 165.784

## x2.age.bmi -9.857

## x2.age.map 14.285

## x2.age.tc -190.968

## x2.age.ldl -38.874

## x2.age.hdl 226.115

## x2.age.tch 179.238

## x2.age.ltg 124.154

## x2.age.glu 66.280

## x2.sex.bmi 67.762

## x2.sex.map 89.085

## x2.sex.tc 388.124

## x2.sex.ldl -330.471

## x2.sex.hdl -91.476

## x2.sex.tch -97.882

## x2.sex.ltg -125.472

## x2.sex.glu 50.978

## x2.bmi.map 156.855

## x2.bmi.tc -665.210

## x2.bmi.ldl 544.524

## x2.bmi.hdl 271.053

## x2.bmi.tch -10.387

## x2.bmi.ltg 211.125

## x2.bmi.glu 26.818

## x2.map.tc 394.519

## x2.map.ldl -260.785

## x2.map.hdl -150.084

## x2.map.tch -49.717

## x2.map.ltg -122.178

## x2.map.glu -143.213

## x2.tc.ldl -2086.330

## x2.tc.hdl -2058.651

## x2.tc.tch -1877.841

## x2.tc.ltg -1715.165

## x2.tc.glu -3.022

## x2.ldl.hdl 1064.328

## x2.ldl.tch 822.069

## x2.ldl.ltg 1199.839

## x2.ldl.glu -74.653

## x2.hdl.tch 1158.240

## x2.hdl.ltg 771.487

## x2.hdl.glu 154.375

## x2.tch.ltg 202.469

## x2.tch.glu 235.328

## x2.ltg.glu 14.416

##

## , , 59 comps

##

## y

## x2.age 48.4609

## x2.sex -258.7671

## x2.bmi 455.6410

## x2.map 340.7939

## x2.tc -889.1830

## x2.ldl 629.1331

## x2.hdl 97.2056

## x2.tch 102.4130

## x2.ltg 906.4148

## x2.glu 68.2065

## x2.age.2 65.4415

## x2.bmi.2 47.6459

## x2.map.2 -5.8048

## x2.tc.2 3004.0916

## x2.ldl.2 956.5353

## x2.hdl.2 1315.2269

## x2.tch.2 913.9408

## x2.ltg.2 732.5617

## x2.glu.2 116.4527

## x2.age.sex 163.7903

## x2.age.bmi -10.6453

## x2.age.map 14.5101

## x2.age.tc -193.4175

## x2.age.ldl -41.1706

## x2.age.hdl 230.5872

## x2.age.tch 188.7968

## x2.age.ltg 121.3367

## x2.age.glu 68.0254

## x2.sex.bmi 69.0849

## x2.sex.map 87.8813

## x2.sex.tc 507.0368

## x2.sex.ldl -420.4931

## x2.sex.hdl -144.5405

## x2.sex.tch -121.2256

## x2.sex.ltg -165.8596

## x2.sex.glu 50.1309

## x2.bmi.map 154.6993

## x2.bmi.tc -555.1748

## x2.bmi.ldl 461.6559

## x2.bmi.hdl 222.2406

## x2.bmi.tch -24.6709

## x2.bmi.ltg 180.8976

## x2.bmi.glu 20.8668

## x2.map.tc 447.2721

## x2.map.ldl -307.8682

## x2.map.hdl -171.5087

## x2.map.tch -49.6277

## x2.map.ltg -136.3267

## x2.map.glu -139.6448

## x2.tc.ldl -3247.3393

## x2.tc.hdl -2358.8206

## x2.tc.tch -2322.8587

## x2.tc.ltg -1964.9062

## x2.tc.glu -84.7169

## x2.ldl.hdl 1271.3696

## x2.ldl.tch 1176.4463

## x2.ldl.ltg 1357.0762

## x2.ldl.glu -0.4735

## x2.hdl.tch 1363.6601

## x2.hdl.ltg 856.3024

## x2.hdl.glu 184.9059

## x2.tch.ltg 375.9225

## x2.tch.glu 231.3590

## x2.ltg.glu 53.9382

##

## , , 60 comps

##

##y

## x2.age 49.461

## x2.sex -262.876

## x2.bmi 457.848

## x2.map 342.926

## x2.tc -1518.947

## x2.ldl 1193.594

## x2.hdl 330.456

## x2.tch 91.003

## x2.ltg 1121.065

## x2.glu 64.440

## x2.age.2 61.611

## x2.bmi.2 52.883

## x2.map.2 -5.464

## x2.tc.2 5083.017

## x2.ldl.2 2174.693

## x2.hdl.2 1506.708

## x2.tch.2 827.383

## x2.ltg.2 1104.105

## x2.glu.2 115.523

## x2.age.sex 156.819

## x2.age.bmi -12.204

## x2.age.map 16.773

## x2.age.tc -382.508

## x2.age.ldl 109.900

## x2.age.hdl 304.796

## x2.age.tch 208.686

## x2.age.ltg 196.772

## x2.age.glu 68.180

## x2.sex.bmi 70.355

## x2.sex.map 89.957

## x2.sex.tc 500.267

## x2.sex.ldl -405.824

## x2.sex.hdl -150.944

## x2.sex.tch -132.180

## x2.sex.ltg -158.015

## x2.sex.glu 45.673

## x2.bmi.map 150.611

## x2.bmi.tc -211.206

## x2.bmi.ldl 180.162

## x2.bmi.hdl 72.631

## x2.bmi.tch -63.980

## x2.bmi.ltg 70.789

## x2.bmi.glu 24.283

## x2.map.tc 513.635

## x2.map.ldl -360.884

## x2.map.hdl -203.909

## x2.map.tch -58.728

## x2.map.ltg -160.641

## x2.map.glu -136.166

## x2.tc.ldl -6394.680

## x2.tc.hdl -3227.088

## x2.tc.tch -2319.902

## x2.tc.ltg -3120.983

## x2.tc.glu -135.845

## x2.ldl.hdl 1967.604

## x2.ldl.tch 1252.306

## x2.ldl.ltg 2186.788

## x2.ldl.glu 46.441

## x2.hdl.tch 1256.507

## x2.hdl.ltg 1231.106

## x2.hdl.glu 203.630

## x2.tch.ltg 403.580

## x2.tch.glu 238.759

## x2.ltg.glu 61.186

##

## , , 61 comps

##

##y

## x2.age 50.748

## x2.sex -266.160

## x2.bmi 460.285

## x2.map 344.400

## x2.tc -2078.820

## x2.ldl 1690.756

## x2.hdl 533.490

## x2.tch 75.860

## x2.ltg 1326.962

## x2.glu 61.566

## x2.age.2 66.831

## x2.bmi.2 47.301

## x2.map.2 -7.095

## x2.tc.2 6636.535

## x2.ldl.2 3576.322

## x2.hdl.2 1741.161

## x2.tch.2 726.505

## x2.ltg.2 1384.683

## x2.glu.2 113.980

## x2.age.sex 149.319

## x2.age.bmi -15.729

## x2.age.map 19.990

## x2.age.tc -211.693

## x2.age.ldl -29.081

## x2.age.hdl 232.247

## x2.age.tch 194.682

## x2.age.ltg 138.863

## x2.age.glu 62.471

## x2.sex.bmi 65.756

## x2.sex.map 89.223

## x2.sex.tc 478.027

## x2.sex.ldl -389.404

## x2.sex.hdl -142.224

## x2.sex.tch -135.072

## x2.sex.ltg -134.906

## x2.sex.glu 46.318

## x2.bmi.map 154.441

## x2.bmi.tc -293.618

## x2.bmi.ldl 234.131

## x2.bmi.hdl 116.479

## x2.bmi.tch -36.447

## x2.bmi.ltg 109.474

## x2.bmi.glu 23.417

## x2.map.tc 548.115

## x2.map.ldl -383.594

## x2.map.hdl -218.169

## x2.map.tch -62.590

## x2.map.ltg -182.335

## x2.map.glu -133.737

## x2.tc.ldl -9294.049

## x2.tc.hdl -3970.909

## x2.tc.tch -2200.001

## x2.tc.ltg -4021.596

## x2.tc.glu -237.621

## x2.ldl.hdl 2706.676

## x2.ldl.tch 1245.370

## x2.ldl.ltg 2968.581

## x2.ldl.glu 133.863

## x2.hdl.tch 1138.638

## x2.hdl.ltg 1561.295

## x2.hdl.glu 246.036

## x2.tch.ltg 387.273

## x2.tch.glu 246.908

## x2.ltg.glu 107.621

##

## , , 62 comps

##

##y

## x2.age 50.89

## x2.sex -267.36

## x2.bmi 460.46

## x2.map 342.81

## x2.tc -2126.40

## x2.ldl 1733.68

## x2.hdl 551.75

## x2.tch 74.45

## x2.ltg 1344.39

## x2.glu 62.66

## x2.age.2 67.68

## x2.bmi.2 45.91

## x2.map.2 -8.21

## x2.tc.2 6794.32

## x2.ldl.2 3694.15

## x2.hdl.2 1752.27

## x2.tch.2 768.49

## x2.ltg.2 1411.34

## x2.glu.2 114.13

## x2.age.sex 148.83

## x2.age.bmi -18.21

## x2.age.map 18.68

## x2.age.tc -169.67

## x2.age.ldl -58.71

## x2.age.hdl 213.55

## x2.age.tch 186.07

## x2.age.ltg 128.26

## x2.age.glu 62.40

## x2.sex.bmi 64.36

## x2.sex.map 88.17

## x2.sex.tc 446.34

## x2.sex.ldl -362.23

## x2.sex.hdl -130.21

## x2.sex.tch -133.65

## x2.sex.ltg -123.23

## x2.sex.glu 45.89

## x2.bmi.map 154.87

## x2.bmi.tc -306.72

## x2.bmi.ldl 245.87

## x2.bmi.hdl 123.29

## x2.bmi.tch -33.60

## x2.bmi.ltg 115.97

## x2.bmi.glu 23.32

## x2.map.tc 475.35

## x2.map.ldl -324.31

## x2.map.hdl -186.30

## x2.map.tch -57.95

## x2.map.ltg -153.68

## x2.map.glu -133.50

## x2.tc.ldl -9544.87

## x2.tc.hdl -3996.71

## x2.tc.tch -2207.86

## x2.tc.ltg -4111.85

## x2.tc.glu -169.33

## x2.ldl.hdl 2705.87

## x2.ldl.tch 1214.32

## x2.ldl.ltg 3034.86

## x2.ldl.glu 79.83

## x2.hdl.tch 1182.99

## x2.hdl.ltg 1577.23

## x2.hdl.glu 214.40

## x2.tch.ltg 390.95

## x2.tch.glu 234.80

## x2.ltg.glu 80.48

##

## , , 63 comps

##

##y

## x2.age 50.855

## x2.sex -267.288

## x2.bmi 460.736

## x2.map 342.937

## x2.tc -2127.951

## x2.ldl 1734.934

## x2.hdl 553.149

## x2.tch 75.052

## x2.ltg 1344.434

## x2.glu 62.806

## x2.age.2 67.764

## x2.bmi.2 45.902

## x2.map.2 -8.427

## x2.tc.2 6803.376

## x2.ldl.2 3693.375

## x2.hdl.2 1754.813

## x2.tch.2 773.989

## x2.ltg.2 1413.190

## x2.glu.2 114.225

## x2.age.sex 148.722

## x2.age.bmi -18.068

## x2.age.map 18.542

## x2.age.tc -157.866

## x2.age.ldl -68.096

## x2.age.hdl 208.939

## x2.age.tch 184.970

## x2.age.ltg 124.297

## x2.age.glu 62.506

## x2.sex.bmi 64.586

## x2.sex.map 88.482

## x2.sex.tc 433.817

## x2.sex.ldl -352.971

## x2.sex.hdl -124.886

## x2.sex.tch -131.328

## x2.sex.ltg -119.100

## x2.sex.glu 45.727

## x2.bmi.map 154.771

## x2.bmi.tc -301.061

## x2.bmi.ldl 240.634

## x2.bmi.hdl 121.704

## x2.bmi.tch -33.338

## x2.bmi.ltg 114.306

## x2.bmi.glu 23.354

## x2.map.tc 478.486

## x2.map.ldl -326.965

## x2.map.hdl -187.320

## x2.map.tch -58.105

## x2.map.ltg -155.056

## x2.map.glu -133.489

## x2.tc.ldl -9549.680

## x2.tc.hdl -3997.987

## x2.tc.tch -2208.572

## x2.tc.ltg -4116.689

## x2.tc.glu -176.359

## x2.ldl.hdl 2700.912

## x2.ldl.tch 1209.022

## x2.ldl.ltg 3036.953

## x2.ldl.glu 85.869

## x2.hdl.tch 1189.979

## x2.hdl.ltg 1577.430

## x2.hdl.glu 217.541

## x2.tch.ltg 390.285

## x2.tch.glu 235.497

## x2.ltg.glu 83.570

##

## , , 64 comps

##

##y

## x2.age 50.72

## x2.sex -267.34

## x2.bmi 460.72

## x2.map 342.93

## x2.tc -3599.54

## x2.ldl 3028.28

## x2.hdl 1103.05

## x2.tch 74.94

## x2.ltg 1828.21

## x2.glu 62.75

## x2.age.2 67.69

## x2.bmi.2 45.85

## x2.map.2 -8.46

## x2.tc.2 6668.45

## x2.ldl.2 3583.17

## x2.hdl.2 1731.82

## x2.tch.2 773.37

## x2.ltg.2 1451.58

## x2.glu.2 114.15

## x2.age.sex 148.68

## x2.age.bmi -18.05

## x2.age.map 18.53

## x2.age.tc -158.89

## x2.age.ldl -67.28

## x2.age.hdl 209.25

## x2.age.tch 184.96

## x2.age.ltg 124.67

## x2.age.glu 62.58

## x2.sex.bmi 64.61

## x2.sex.map 88.47

## x2.sex.tc 433.60

## x2.sex.ldl -352.82

## x2.sex.hdl -124.73

## x2.sex.tch -131.22

## x2.sex.ltg -118.99

## x2.sex.glu 45.76

## x2.bmi.map 154.72

## x2.bmi.tc -302.04

## x2.bmi.ldl 241.54

## x2.bmi.hdl 121.94

## x2.bmi.tch -33.44

## x2.bmi.ltg 114.67

## x2.bmi.glu 23.38

## x2.map.tc 478.30

## x2.map.ldl -326.74

## x2.map.hdl -187.30

## x2.map.tch -58.29

## x2.map.ltg -154.80

## x2.map.glu -133.48

## x2.tc.ldl -9313.78

## x2.tc.hdl -3932.02

## x2.tc.tch -2205.91

## x2.tc.ltg -3801.44

## x2.tc.glu -176.29

## x2.ldl.hdl 2642.64

## x2.ldl.tch 1206.82

## x2.ldl.ltg 2773.70

## x2.ldl.glu 85.63

## x2.hdl.tch 1188.41

## x2.hdl.ltg 1467.85

## x2.hdl.glu 217.54

## x2.tch.ltg 389.80

## x2.tch.glu 235.69

## x2.ltg.glu 83.52

validationplot(ap) #此图可用来根据cv所用准则最优的原则挑选因子数量

RMSEP(ap);MSEP(ap);R2(ap) #不同准则(MSEP,R2)在不同因子数量时的值

## (Intercept) 1 comps 2 comps 3 comps 4 comps 5 comps 6 comps

## CV77.18 60.24 58.03 56.69 56.09 55.98 55.93

## adjCV 77.18 60.03 58.10 56.50 55.85 55.70 55.67

## 7 comps 8 comps 9 comps 10 comps 11 comps 12 comps 13 comps

## CV 56.22 56.35 56.53 56.83 56.99 57.14 57.17

## adjCV 55.91 56.02 56.18 56.45 56.59 56.72 56.75

## 14 comps 15 comps 16 comps 17 comps 18 comps 19 comps

## CV 57.34 57.35 57.33 57.37 57.33 57.37

## adjCV 56.90 56.91 56.89 56.93 56.90 56.92

## 20 comps 21 comps 22 comps 23 comps 24 comps 25 comps

## CV 57.31 57.44 57.52 57.56 57.62 57.61

## adjCV 56.87 56.99 57.07 57.10 57.15 57.15

## 26 comps 27 comps 28 comps 29 comps 30 comps 31 comps

## CV 57.61 57.54 57.47 57.54 57.58 57.68

## adjCV 57.15 57.09 57.02 57.09 57.13 57.22

## 32 comps 33 comps 34 comps 35 comps 36 comps 37 comps

## CV 57.76 57.86 57.94 58.02 58.03 58.09

## adjCV 57.30 57.39 57.45 57.53 57.54 57.59

## 38 comps 39 comps 40 comps 41 comps 42 comps 43 comps

## CV 58.18 58.23 58.27 58.31 58.33 58.37

## adjCV 57.68 57.72 57.76 57.79 57.81 57.85

## 44 comps 45 comps 46 comps 47 comps 48 comps 49 comps

## CV 58.40 58.41 58.41 58.40 58.44 58.45

## adjCV 57.88 57.89 57.88 57.87 57.91 57.92

## 50 comps 51 comps 52 comps 53 comps 54 comps 55 comps

## CV 58.43 58.48 58.47 58.46 58.50 58.48

## adjCV 57.90 57.94 57.94 57.93 57.97 57.95

## 56 comps 57 comps 58 comps 59 comps 60 comps 61 comps

## CV 58.49 58.48 58.77 58.95 59.39 59.09

## adjCV 57.96 57.95 58.22 58.39 58.78 58.51

## 62 comps 63 comps 64 comps

## CV 58.97 58.98 59.01

## adjCV 58.39 58.40 58.43

## (Intercept) 1 comps 2 comps 3 comps 4 comps 5 comps 6 comps

## CV5957 3629 3367 3214 3146 3134 3128

## adjCV5957 3603 3375 3192 3119 3103 3099

## 7 comps 8 comps 9 comps 10 comps 11 comps 12 comps 13 comps

## CV 3161 3176 3195 3230 3248 3265 3269

## adjCV 3126 3139 3156 3187 3202 3217 3221

## 14 comps 15 comps 16 comps 17 comps 18 comps 19 comps

## CV3288 3288 3286 3291 3287 3291

## adjCV 3238 3239 3237 3241 3237 3240

## 20 comps 21 comps 22 comps 23 comps 24 comps 25 comps

## CV3284 3299 3309 3313 3320 3319

## adjCV 3234 3248 3257 3261 3266 3266

## 26 comps 27 comps 28 comps 29 comps 30 comps 31 comps

## CV3319 3311 3302 3311 3316 3327

## adjCV 3266 3259 3252 3259 3264 3274

## 32 comps 33 comps 34 comps 35 comps 36 comps 37 comps

## CV3337 3348 3357 3366 3367 3375

## adjCV 3283 3293 3301 3309 3310 3317

## 38 comps 39 comps 40 comps 41 comps 42 comps 43 comps

## CV3385 3391 3395 3400 3402 3407

## adjCV 3327 3332 3336 3340 3342 3347

## 44 comps 45 comps 46 comps 47 comps 48 comps 49 comps

## CV3411 3412 3411 3410 3415 3417

## adjCV 3350 3351 3350 3349 3353 3355

## 50 comps 51 comps 52 comps 53 comps 54 comps 55 comps

## CV3414 3420 3419 3417 3423 3419

## adjCV 3352 3358 3357 3356 3361 3358

## 56 comps 57 comps 58 comps 59 comps 60 comps 61 comps

## CV3421 3419 3454 3475 3527 3492

## adjCV 3359 3358 3390 3410 3456 3423

## 62 comps 63 comps 64 comps

## CV3477 3478 3482

## adjCV 3409 3411 3414

## (Intercept) 1 comps 2 comps 3 comps 4 comps

## -0.00454 0.38802 0.43219 0.45798 0.46952

## 5 comps 6 comps 7 comps 8 comps 9 comps

## 0.47151 0.47242 0.46695 0.46445 0.46113

## 10 comps 11 comps 12 comps 13 comps 14 comps

## 0.45538 0.45227 0.44940 0.44877 0.44557

## 15 comps 16 comps 17 comps 18 comps 19 comps

## 0.44544 0.44581 0.44504 0.44571 0.44505

## 20 comps 21 comps 22 comps 23 comps 24 comps

## 0.44613 0.44366 0.44196 0.44130 0.44020

## 25 comps 26 comps 27 comps 28 comps 29 comps

## 0.44023 0.44034 0.44165 0.44310 0.44168

## 30 comps 31 comps 32 comps 33 comps 34 comps

## 0.44083 0.43894 0.43734 0.43536 0.43396

## 35 comps 36 comps 37 comps 38 comps 39 comps

## 0.43238 0.43217 0.43093 0.42914 0.42811

## 40 comps 41 comps 42 comps 43 comps 44 comps

## 0.42741 0.42665 0.42632 0.42537 0.42481

## 45 comps 46 comps 47 comps 48 comps 49 comps

## 0.42461 0.42472 0.42491 0.42414 0.42384

## 50 comps 51 comps 52 comps 53 comps 54 comps

## 0.42431 0.42333 0.42350 0.42372 0.42282

## 55 comps 56 comps 57 comps 58 comps 59 comps

## 0.42335 0.42313 0.42336 0.41760 0.41392

## 60 comps 61 comps 62 comps 63 comps 64 comps

## 0.40518 0.41109 0.41363 0.41342 0.41272

# 图可以用来根据CV中的RMSEP最小的原则挑选因子数量。可以看出5个因子时RMSEP最小。用其他准则，比如RMSEP和R2都选择了5个因子。