Partial Least Squares Regression for Beta Regression Models

Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <>) and 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.


plsRbeta 0.2.5

  • Verbose option added.

plsRbeta 0.2.4

  • Added a file to track changes to the package.
  • Completed package help.

plsRbeta 0.2.3

  • Minor fixes

plsRbeta 0.2.2

  • Update to export S3 methods to pass CRAN check.

plsRbeta 0.2.1

  • Update to pass CRAN check.

plsRbeta 0.2.0

  • Update on CRAN request.

plsRbeta 0.1.8

  • Upgraded dependancies.

plsRbeta 0.1.7

  • Minor code enhancements.

plsRbeta 0.1.6

  • Minor code enhancements.

plsRbeta 0.1.5

  • Minor code enhancements.

plsRbeta 0.1.4

  • Minor code enhancements.

plsRbeta 0.1.3

  • Minor code enhancements.

plsRbeta 0.1.2

  • Support for bootstrap.

plsRbeta 0.1.1

  • Support for cross-validation.

plsRbeta 0.1.0

  • Support for Beta distribution.

Reference manual

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0.2.6 by Frederic Bertrand, 6 months ago,

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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, Formula, MASS, plsRglm, betareg, methods

Suggests pls, plsdof

See at CRAN