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 1.48.0 Index]