This function provides a print method for the class "plsRbetamodel"

# S3 method for plsRbetamodel
print(x, ...)

Arguments

x

an object of the class "plsRbetamodel"

...

not used

Value

NULL

References

Frédéric Bertrand, Nicolas Meyer, Michèle Beau-Faller, Karim El Bayed, Izzie-Jacques Namer, Myriam Maumy-Bertrand (2013). Régression Bêta PLS. Journal de la Société Française de Statistique, 154(3):143-159. http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/215

See also

Author

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

Examples

data("GasolineYield",package="betareg") modpls <- plsRbeta(yield~.,data=GasolineYield,nt=3,modele="pls-beta")
#> ____************************************************____ #> #> Model: pls-beta #> #> Link: logit #> #> Link.phi: #> #> Type: ML #> #> ____Component____ 1 ____ #> ____Component____ 2 ____ #> ____Component____ 3 ____ #> ____Predicting X without NA neither in X or Y____ #> ****________________________________________________**** #>
print(modpls)
#> Number of required components: #> [1] 3 #> Number of successfully computed components: #> [1] 3 #> Coefficients: #> [,1] #> Intercept -4.1210566077 #> gravity 0.0157208676 #> pressure 0.0305159627 #> temp10 -0.0074167766 #> temp 0.0108057945 #> batch1 0.0910284843 #> batch2 0.1398537354 #> batch3 0.2287070465 #> batch4 -0.0008124326 #> batch5 0.1018679027 #> batch6 0.1147971957 #> batch7 -0.1005469609 #> batch8 -0.0447907428 #> batch9 -0.0706292318 #> batch10 -0.1984703429 #> Information criteria and Fit statistics: #> AIC BIC Chi2_Pearson_Y RSS_Y pseudo_R2_Y R2_Y #> Nb_Comp_0 -52.77074 -49.83927 30.72004 0.35640772 NA NA #> Nb_Comp_1 -87.96104 -83.56383 31.31448 0.11172576 0.6879757 0.6865226 #> Nb_Comp_2 -114.10269 -108.23975 33.06807 0.04650238 0.8671800 0.8695248 #> Nb_Comp_3 -152.71170 -145.38302 30.69727 0.01138837 0.9526757 0.9680468