plsRglm (1.2.5)

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Partial Least Squares Regression for Generalized Linear Models.

Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.

Maintainer: Frederic Bertrand
Author(s): Frederic Bertrand [cre, aut] (<>), Myriam Maumy-Bertrand [aut] (<>)

License: GPL-3

Uses: bipartite, boot, car, MASS, mvtnorm, R.rsp, chemometrics, plsdof, plsdepot
Enhances: pls
Reverse depends: plsRbeta
Reverse suggests: plsRcox
Reverse enhances: plsRbeta, plsRcox

Released 9 months ago.

17 previous versions



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