请大家指教,我在做偏最小二乘法时,出现了下面的结果
The PLS Procedure
Dependent Variable Centering and Scaling
Variable Subtracted off Divided by
logtoxi 7.124598 0.951920
Model Effect Centering and Scaling
Effect Subtracted off Divided by
Mass 259.844384 121.471083
LogP 0.288630 1.353030
AreaApp 549.993973 156.003281
AreaGrid 363.110685 74.143418
Volume 578.020822 118.992727
Refrac 57.672329 15.439546
Polar 20.907534 5.843585
TEnergy -0.865012 6.859545
BEnergy -0.034121 0.272922
IAE -0.830833 6.586630
EEnergy -4.188067 33.189840
CCInter 3.323055 26.330306
HoF -79.223667 58.266848
Dipole 3.205397 1.520396
The PLS Procedure
Dependent Variable Centering and Scaling
Variable Subtracted off Divided by
logtoxi 7.124598 0.951920
Model Effect Centering and Scaling
Effect Subtracted off Divided by
Mass 259.844384 121.471083
LogP 0.288630 1.353030
AreaApp 549.993973 156.003281
AreaGrid 363.110685 74.143418
Volume 578.020822 118.992727
Refrac 57.672329 15.439546
Polar 20.907534 5.843585
TEnergy -0.865012 6.859545
BEnergy -0.034121 0.272922
IAE -0.830833 6.586630
EEnergy -4.188067 33.189840
CCInter 3.323055 26.330306
HoF -79.223667 58.266848
Dipole 3.205397 1.520396
Cross Validation for the Number of Extracted Factors
Number of Root
Extracted Mean Prob >
Factors PRESS T**2 T**2
0 1.013889 0 1.0000
1 44.69241 1.00003 0.2770
Minimum root mean PRESS 1.0139
Minimizing number of factors 0
Smallest number of factors with p > 0.1 0
NOTE: Variation table not displayed because the number of factors has been set to zero.
Parameter Estimates for Centered and Scaled Data
logtoxi
Intercept 0
Mass 0
LogP 0
AreaApp 0
AreaGrid 0
Volume 0
Refrac 0
Polar 0
TEnergy 0
BEnergy 0
IAE 0
EEnergy 0
CCInter 0
为什么得不到模型呢,我用同样的数据,做多元线性回归是可以得到模型的,原因在哪?下面是程序代码,错误在哪?,应该怎么更改呢?
proc standard mean=0 std=1 out=research2;
proc print;
run;
proc pls data=research1 nfac=1 cv=one cvtest varss censcale details;
model logtoxi=mass logp AreaApp AreaGrid volume Refrac Polar TEnergy BEnergy IAE EEnergy CCinter Hof Dipole /solution;
run;