pls1c {pdmclass}R Documentation

Function to Fit Modified Helland Algorithm

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


[Package pdmclass version 1.6.0 Index]