Contains linear and nonlinear regression methods based on Partial Least Squares and Penalization Techniques. Model parameters are selected via cross-validation, and confidence intervals ans tests for the regression coefficients can be conducted via jackknifing.
copied from cf-post-staging / r-ppls| Label | Latest Version |
|---|---|
| main | 2.0.0 |
| gcc7 | 1.6_1.1 |
| cf201901 | 1.6_1.1 |
| cf202003 | 1.6_1.1 |
