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.
copied from cf-staging / r-plsdof| Label | Latest Version |
|---|---|
| main | 0.2_7 |
| cf201901 | 0.2_7 |
| cf202003 | 0.2_7 |
| gcc7 | 0.2_7.1 |
