orthlspls.fit: Underlying LS-PLS Fit Function

In lspls: LS-PLS Models

Description

Fits orthogonalized LS-PLS models.

Usage

orthlspls.fit(Y, X, Z, ncomp)

Arguments

Y	matrix. Response matrix.
X	matrix. The first predictor matrix (typically a design matrix).
Z	list. List of predictor matrices.
ncomp	list. The number of components to fit from each matrix.

Details

orthlspls.fit is not meant to be called by the user. It is called by lspls to do the actual fitting. See lspls for details about LS-PLS and ncomp. Each element of the list Z should either be a matrix or a list of matrices.

Value

A list with components

coefficients	matrix with the final prediction coefficients
predictors	matrix with variables and scores used in the final regression
orthCoefs	list of coefficient generating matrices, to be used when predicting new predictors.
models	list of fitted PLS models for the matrices
ncomp	list with the number of components used
scores	list of score matrices
loadings	list of loading matrices
residuals	matrix with fit residuals, one coloumn per response

Note

The interface (arguments and return values) is likely to change in a future version.

Author(s)

Bjørn-Helge Mevik

References

Jørgensen, K., Segtnan, V. H., Thyholt, K., Næs, T. (2004) A Comparison of Methods for Analysing Regression Models with Both Spectral and Designed Variables. Journal of Chemometrics, 18(10), 451–464.

Jørgensen, K., Mevik, B.-H., Næs, T. Combining Designed Experiments with Several Blocks of Spectroscopic Data. (Submitted)

Mevik, B.-H., Jørgensen, K., Måge, I., Næs, T. LS-PLS: Combining Categorical Design Variables with Blocks of Spectroscopic Measurements. (Submitted)

See Also

lspls

lspls documentation built on May 2, 2019, 12:19 p.m.