my_plsDA: PLS Discriminant Analysis

In DiscriMiner: Tools of the Trade for Discriminant Analysis

Description

Perform a PLS discriminant analysis

Usage

  my_plsDA(X, y, learn, test, autosel, comps, cv = "LOO",
    k = NA, retain.models = FALSE)

Arguments

X	matrix or data.frame with explanatory variables
y	vector or factor with group membership
learn	vector of learning observations
test	vector of testing observations
autosel	logical indicating automatic selection of PLS comps
comps	number of PLS components (only when autosel=FALSE)
cv	cross validation method. Options are "LOO" (Leave-One-Out) and "LKO" (Leave-K fold-Out)
k	fold left out if using LKO
retain.models	whether to retain lower models (i.e. all lower component results)

DiscriMiner documentation built on May 1, 2019, 10:32 p.m.