svdr

 A numeric matrix assumed to be centred so columns sum to zero.

 A numeric vector assumed to sum to zero.

 The number of PLS factors in the model, which must be
  less than or equal to the rank of <code>X</code>. 

dimension


  This function is used by <code>pdmClass</code> and <code>pdmGenes</code> to
  classify microarray data by principal components regression. It is an
  internal function and not intended to be called by the end user.


internal

This package can be used to classify microarray data using one of three
penalized regression methods; partial least squares, principal components
regression, or ridge regression.

James W MacDonald

pdmclass

Classification of Microarray Samples using Penalized Discriminant Methods

svdr function

A numeric matrix assumed to be centred so columns sum to zero.

The number of PLS factors in the model, which must be
  less than or equal to the rank of <code>X</code>.

This function is used by <code>pdmClass</code> and <code>pdmGenes</code> to
  classify microarray data by principal components regression. It is an
  internal function and not intended to be called by the end user.

svdr: Classify Microarray Data by Principal Components Regression

Description

Usage

Arguments

Value

References