coef method for plsR models

Source: R/coef.plsRglmmodel.R

This function provides a coef method for the class "plsRglmmodel"

# S3 method for plsRglmmodel
coef(object, type = c("scaled", "original"), ...)

Arguments

object

an object of the class "plsRglmmodel"
type

if scaled, the coefficients of the predictors are given for the scaled predictors, if original the coefficients are to be used with the predictors on their original scale.
...

not used

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).

See also

coef

Author

Frédéric Bertrand
frederic.bertrand@utt.fr
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"))