pls1c: Function to Fit Modified Helland Algorithm

In pdmclass: Classification of Microarray Samples using Penalized Discriminant Methods

Description

This function fits a partial least squares model based on the modified Helland algorithm. This is an internal function and is not intended to be called by the end user.

Usage

pls1c(X, y, dimension = min(dx[1] - 1, dx[2]))

Arguments

X	A numeric matrix assumed to have been 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 pls, containing the following items:

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

Author(s)

Mike Denham

References

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

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