Version 1.0-3 of the pls package is now available on CRAN.
The pls package implements partial least squares regression (PLSR) and
principal component regression (PCR). Features of the package include
- Several plsr algorithms: orthogonal scores, kernel pls and simpls
- Flexible cross-validation
- A formula interface, with traditional methods like predict, coef,
plot and summary
- Functions for extraction of scores and loadings, and calculation of
(R)MSEP and R2
- A simple multiplicative scatter correction (msc) implementation
- Functions for plotting predictions, validation statistics,
coefficients, scores, loadings and biplots.
(The pls package is meant to supersede the pls.pcr package.)
--
Ron Wehrens and Bj??rn-Helge Mevik
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