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(X->y) Non-linear calibrations >>
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>> (X->y) Linear calibrations
(X->y) Linear calibrations
covsel_fda
—
variable selection using Covsel, then factorial discriminant analysis on the selected variables
covsel_mlr
—
variable selection using covsel, then multiple linear regression (MLR)
ikpls
—
partial least squares regression computed with the improved-kernel algorithm
mlr
—
multiple linear regression (MLR)
pcr
—
principal components regression (PCR)
pls
—
partial least squares regression, projection to latent structure regression or PLSR computed with the standard algorithm
regapply
—
applies a calibration model calculated with pls, vodka, pcr, mlr or ridge to a new dataset
ridge
—
the Ridge regression
spls
—
stacked PLS regression
vodka
—
the Vodka regression
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<< (X->X) Other pretaitments
fact
(X->y) Non-linear calibrations >>