Classify Microarray Data by Principal Components Regression

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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

1
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