orthlspls.fit {lspls}

Underlying LS-PLS Fit Function

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