svdpls1c: Classify Microarray Data by Partial Least Squares

In pdmclass: Classification of Microarray Samples using Penalized Discriminant Methods

Description

This function is used by pdmClass and pdmGenes to classify microarray data by partial least squares. It is an internal function and not intended to be called by the end user.

Usage

svdpls1c(X, y, ...)

Arguments

X	A numeric matrix assumed to be centred so columns sum to zero.
y	A numeric vector assumed to sum to zero.
...	Further arguments to the function

Value

An object of class pls, 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)

Mike Denham

References

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

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