plsdof
Degrees of Freedom and Statistical Inference for Partial Least Squares Regression
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.
- Version0.4-0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- plsdof citation info
- Last release09/14/2025
Documentation
Team
Frederic Bertrand
MaintainerShow author detailsNicole Kraemer
Show author detailsRolesAuthorMikio L. Braun
Show author detailsRolesAuthor
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- Depends1 package
- Suggests1 package
- Reverse Suggests4 packages