Print method for summaries of plsRglm models

Source: R/print.summary.plsRglmmodel.R

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

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

Arguments

x

an object of the class "summary.plsRglmmodel"
...

not used

Value

language

call of the model

References

Nicolas Meyer, Myriam Maumy-Bertrand et Frédéric Bertrand (2010). Comparaison de la régression PLS et de la régression logistique PLS : application aux données d'allélotypage. Journal de la Société Française de Statistique, 151(2), pages 1-18. http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/47

See also

print and summary

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-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(summary(modplsglm))

#> Call:
#> plsRglmmodel.default(dataY = yCornell, dataX = XCornell, nt = 3, 
#>     modele = "pls-glm-gaussian")
rm(list=c("XCornell","yCornell","modplsglm"))