[R-pkgs] pls version 1.1-0

[Ron Wehrens and Bjørn-Helge Mevik]

Version 1.1-0 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, biplots and correlation loadings.

The main changes since 1.0-3 are

- mvr, mvrCv and predict.mvr now has builtin support for scaling of X.
- A new function stdize for explicit centering and/or scaling.
- Correlation loadings plot (corrplot).
- New argument `varnames' in coefplot, to label the x tick marks with the
  variable names.
- loadingplot, coefplot and plot.mvrVal can now display legends, with the
  argument 'legendpos'.

See CHANGES in the sources for all changes.


-- 
Bjørn-Helge Mevik and Ron Wehrens