pls_lrCMA-methods {CMA}R Documentation

Partial Least Squares followed by logistic regression

Description

This method constructs a classifier that extracts Partial Least Squares components that form the the covariates in a binary logistic regression model. The Partial Least Squares components are computed by the package plsgenomics.

Methods

X = "matrix", y = "numeric", f = "missing"
signature 1
X = "matrix", y = "factor", f = "missing"
signature 2
X = "data.frame", y = "missing", f = "formula"
signature 3
X = "ExpressionSet", y = "character", f = "missing"
signature 4

For further argument and output information, consult pls_lrCMA


[Package CMA version 1.0.0 Index]