svdr {pdmclass}R Documentation

Classify Microarray Data by Principal Components Regression

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


[Package pdmclass version 1.6.0 Index]