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

# S3 method for coef.plsRglmmodel
print(x, ...)

Arguments

x

an object of the class "coef.plsRglmmodel"

...

not used

Value

NULL

References

Nicolas Meyer, Myriam Maumy-Bertrand et Frédéric Bertrand (2010). Comparing the linear and the logistic PLS regression with qualitative predictors: application to allelotyping data. Journal de la Societe Francaise de Statistique, 151(2), pages 1-18. http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/47

See also

Author

Frédéric Bertrand
frederic.bertrand@utt.fr
https://fbertran.github.io/homepage/

Examples

data(Cornell) XCornell<-Cornell[,1:7] yCornell<-Cornell[,8] modplsglm <- 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(modplsglm)
#> [1] "plsRglmmodel"
print(coef(modplsglm))
#> 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
rm(list=c("XCornell","yCornell","modplsglm"))