Sparse and Non-Sparse Partial Robust M Regression and Classification

Documentation for package ‘sprm’ version 1.2.2

sprm-package	Sparse and Non-Sparse Partial Robust M Regression and Classification
biplot.prm	Biplot for prm objects
biplot.prmda	Biplot for prmda objects of PRM discriminant analysis
biplot.sprm	Biplot for sprm objects
biplot.sprmda	Biplot for sprmda objects of Sparse PRM discriminant analysis
plot.prm	Plots for prm objects
plot.sprm	Plots for sprm objects
predict.prm	Predict method for models of class prm
predict.prmda	Predict method for models of class prmda
predict.sprm	Predict method for models of class sprm
predict.sprmda	Predict method for models of class sprmda
print.prm	Summary of a prm model
print.prmda	Summary of a prmda model
print.sprm	Summary of a sprm model
print.sprmda	Summary of a sprmda model
prmda	Robust PLS for binary classification
prmdaCV	Cross validation method for PRM classification models.
prms	Partial robust M regression
prmsCV	Cross validation method for PRM regression models.
sprm	Sparse and Non-Sparse Partial Robust M Regression and Classification
sprmda	Sparse and robust PLS for binary classification
sprmdaCV	Cross validation method for sparse PRM classification models.
sprms	Sparse partial robust M regression
sprmsCV	Cross validation method for SPRM regression models.
summary.prm	Summary of a prm model
summary.prmda	Summary of a prmda model
summary.sprm	Summary of a sprm model
summary.sprmda	Summary of a sprmda model