Package: plsdof
Type: Package
Title: Degrees of Freedom and Statistical Inference for Partial Least
        Squares Regression
Depends: MASS
Version: 0.3-2
Date: 2022-11-29
Author: Nicole Kraemer, Mikio L. Braun
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>
Description: The plsdof package provides Degrees of Freedom estimates
        for Partial Least Squares (PLS) Regression. Model selection for
        PLS is based on various information criteria (aic, bic, gmdl)
        or on cross-validation. Estimates for the mean and covariance
        of the PLS regression coefficients are available. They allow
        the construction of approximate confidence intervals and the
        application of test procedures (Kramer and Sugiyama 
        2012 <doi:10.1198/jasa.2011.tm10107>).
        Further, cross-validation procedures for Ridge Regression and 
        Principal Components Regression are available.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Encoding: UTF-8
Repository: CRAN
RoxygenNote: 7.2.1
URL: https://github.com/fbertran/plsdof/,
        https://fbertran.github.io/plsdof/
BugReports: https://github.com/fbertran/plsdof/issues/
Packaged: 2022-11-29 14:31:14 UTC; fbertran
Date/Publication: 2022-11-30 08:10:02 UTC
Built: R 4.3.3; ; 2025-01-24 11:04:39 UTC; unix
