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.


plsRglm 1.2.5

  • Rewrote examples to cope with pkgdown requirements.

plsRglm 1.2.4

  • Improve examples in manual
  • Bug fix in signpred if no variable was selected.
  • Creating website for the package
  • Github repository of the package is now public
  • Added a file to track changes to the package.

plsRglm 1.2.3

  • Complete S3 methods to pass CRAN checks.

plsRglm 1.2.2

  • Sped up examples to pass CRAN checks.

plsRglm 1.2.1

  • Updated code to pass CRAN checks.

plsRglm 1.2.0

  • Added naive AIC and BIC output for data with missing values.

plsRglm 1.1.1

  • donttest update requested by CRAN.

plsRglm 1.1.0

  • Verbose option (request from Max Kuhn, caret package).

plsRglm 1.0.1

  • Fix for sPLS like option.

plsRglm 1.0.0

  • Major upgrade to enhance generics support. Package vignette (130 p.) release. Help of package completed.

plsRglm 0.9.0

  • Tilted bootstrap and demos fixed.

plsRglm 0.8.3

  • Code upgrade requested by R Core Team due to change in namespace policies.

plsRglm 0.8.2

  • Improvement of access to T-np or model based Bootstrap.

plsRglm 0.8.1

  • Graphical assessment of variable selection. Selection of bootstap techniques for CI plots.

plsRglm 0.8.0

  • Improved bootstrap stability.

plsRglm 0.7.9

  • polr demo fixed.

plsRglm 0.7.8

  • Minor code enhancements.

plsRglm 0.7.7

  • Minor code enhancements.

plsRglm 0.7.6

  • Demos fixed.

plsRglm 0.7.5

  • Minor code enhancements.

plsRglm 0.7.4

  • Minor code enhancements.

plsRglm 0.7.3

  • Minor code fixes.

plsRglm 0.7.2

  • Cross-validation fully compatible with weighted plsR or plsRglm models.

plsRglm 0.7.1

  • Minor code changes.

plsRglm 0.7.0

  • Estimation of Degrees of Freedom for plsR models.

plsRglm 0.6.7

  • Weighted plsR models.

plsRglm 0.6.5

  • Sparse option to set to 0 the coefficients of non-significant predictors and to select the number of components.

plsRglm 0.6.3

  • Minor fixes to cope with upcoming changes in R 2.13.

plsRglm 0.6.2

  • Support for logistic, probit, cloglog and cauchit links for cumulative link models.

plsRglm 0.6.1

  • Support for various glm or polr options.

plsRglm 0.6.0

  • Support for formulas.

plsRglm 0.5.1

  • Minor code changes.

plsRglm 0.5.0

  • Support for R or user defined "family" definition of glms added.

plsRglm 0.4.0

  • Support for Gamma(link = "inverse"), inverse.gaussian(link = "1/mu^2") and poisson(link = "log") added.

plsRglm 0.3.4

  • Minor code fixes.

plsRglm 0.3.3

  • Boostrap functionnalities improvement. Bootstrap no longer stops if model fitting fails for some subsample.

plsRglm 0.2.0-0.3.2

  • Support for polr, crossvalidations and bootstraps.

plsRglm 0.1.2-0.1.5

  • Creating help files.

Reference manual

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1.3.0 by Frederic Bertrand, 10 months ago,

Report a bug at

Browse source code at

Authors: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]

Documentation:   PDF Manual  

Task views: Missing Data

GPL-3 license

Imports mvtnorm, boot, bipartite, car, MASS

Suggests plsdof, R.rsp, chemometrics, plsdepot

Enhances pls

Imported by bootPLS, plsRbeta, plsRcox.

See at CRAN