SlimPLS multivariate feature selection

Documentation for package ‘SlimPLS’ version 0.3

SlimPLS-package	slimPLS - Partial Least Squares based multivariate feature selection.
classificationModel-class	Class "classificationModel"
expMat-class	Class "expMat"
featureSet-class	Class "featureSet"
getClassification	Predicts classes of a samples in a given expression matrix
readExpMat	Reads an expression matrix file to be used for feature selection and classification
selectFeatures	Selects the best features using various scoring methods from a given expression matrix
selectFeaturesSlimPLS	Selects and constructs a set of features using the SlimPLS algorithm methods from a given expression matrix
trainClassifier	Creates a classification model using a labeled expression matrix and a set of features