plsdof (0.2-6)
Degrees of Freedom and Statistical Inference for Partial Least Squares Regression.
http://cran.r-project.org/web/packages/plsdof
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. Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.
Maintainer:
Nicole Kraemer
Author(s): Nicole Kraemer, Mikio L. Braun
License: GPL (>= 2)
Uses: MASS
Reverse suggests: plsRcox, plsRglm
Released 2 months ago.
8 previous versions
- plsdof_0.2-5. Released 4 months ago.
- plsdof_0.2-4. Released 6 months ago.
- plsdof_0.2-3. Released 10 months ago.
- plsdof_0.2-2. Released about 2 years ago.
- plsdof_0.2-1. Released almost 3 years ago.
- plsdof_0.2-0. Released over 3 years ago.
- plsdof_0.1-1. Released over 3 years ago.
- plsdof_0.1. Released over 3 years ago.
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