Fits orthogonalized LS-PLS models.
orthlspls.fit(Y, X, Z, ncomp)
matrix. Response matrix.
matrix. The first predictor matrix (typically a design matrix).
list. List of predictor matrices.
list. The number of components to fit from each matrix.
A list with components
matrix with the final prediction coefficients
matrix with variables and scores used in the final regression
list of coefficient generating matrices, to be used when predicting new predictors.
list of fitted PLS models for the matrices
list with the number of components used
list of score matrices
list of loading matrices
matrix with fit residuals, one coloumn per response
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.
J<U+00F8>rgensen, K., Segtnan, V. H., Thyholt, K., N<U+00E6>s, T. (2004) A Comparison of Methods for Analysing Regression Models with Both Spectral and Designed Variables. Journal of Chemometrics, 18(10), 451--464.
J<U+00F8>rgensen, K., Mevik, B.-H., N<U+00E6>s, T. Combining Designed Experiments with Several Blocks of Spectroscopic Data. (Submitted)
Mevik, B.-H., J<U+00F8>rgensen, K., M<U+00E5>ge, I., N<U+00E6>s, T. LS-PLS: Combining Categorical Design Variables with Blocks of Spectroscopic Measurements. (Submitted)