svdr: Classify Microarray Data by Principal Components Regression

In pdmclass: Classification of Microarray Samples using Penalized Discriminant Methods

Description

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

Usage

svdr(X, y, dimension)

Arguments

X	A numeric matrix assumed to be centred so columns sum to zero.
y	A numeric vector assumed to sum to zero.
dimension	The number of PLS factors in the model, which must be less than or equal to the rank of X.

Value

An object of class svd, containing the following items:

fitted.values	The fitted values.
coefficients	The model coefficients.
dimension	The number of PLS factors in the model.
xmeans	The sample means.

Author(s)

Debashis Ghosh

References

http://www.sph.umich.edu/~ghoshd/COMPBIO/POPTSCORE

pdmclass documentation built on Nov. 17, 2017, 12:19 p.m.