This function provides a coef method for the class "plsRglmmodel"
Value
An object of class coef.plsRglmmodel
.
- CoeffC
Coefficients of the components.
- Std.Coeffs
Coefficients of the scaled predictors in the regression function.
- Coeffs
Coefficients of the untransformed predictors (on their original scale).
Author
Frédéric Bertrand
frederic.bertrand@lecnam.net
https://fbertran.github.io/homepage/
Examples
data(Cornell)
XCornell<-Cornell[,1:7]
yCornell<-Cornell[,8]
modpls <- plsRglm(yCornell,XCornell,3,modele="pls-glm-family",family=gaussian())
#> ____************************************************____
#>
#> Family: gaussian
#> Link function: identity
#>
#> ____Component____ 1 ____
#> ____Component____ 2 ____
#> ____Component____ 3 ____
#> ____Predicting X without NA neither in X nor in Y____
#> ****________________________________________________****
#>
class(modpls)
#> [1] "plsRglmmodel"
coef(modpls)
#> Coefficients of the components
#> Coeff_Comp_Reg 1 Coeff_Comp_Reg 2 Coeff_Comp_Reg 3
#> 3.1434906 2.8745210 0.9766999
#> Coefficients of the predictors (original scale)
#> [,1]
#> Intercept 87.652763
#> X1 -5.930456
#> X2 -2.069198
#> X3 -9.607722
#> X4 -4.994568
#> X5 2.603934
#> X6 14.721801
#> X7 -20.912671
coef(modpls,type="scaled")
#> Coefficients of the components
#> Coeff_Comp_Reg 1 Coeff_Comp_Reg 2 Coeff_Comp_Reg 3
#> 3.1434906 2.8745210 0.9766999
#> Coefficients of the predictors (scaled scale)
#> [,1]
#> Intercept 88.5833333
#> X1 -0.5473211
#> X2 -0.4045974
#> X3 -0.5171213
#> X4 -1.1338145
#> X5 0.1486891
#> X6 4.3120090
#> X7 -0.5663178
rm(list=c("XCornell","yCornell","modpls"))