| bve_pls | Backward variable elimination PLS (BVE-PLS) |
| covSel | Covariance Selection - CovSel |
| filterPLSR | Optimisation of filters for Partial Least Squares |
| FRC | Filter methods for variable selection with Partial Least Squares. |
| ga_pls | Genetic algorithm combined with PLS regression (GA-PLS) |
| ipw_pls | Iterative predictor weighting PLS (IPW-PLS) |
| ipw_pls_legacy | Iterative predictor weighting PLS (IPW-PLS) |
| lda_from_pls | LDA/QDA classification from PLS model |
| lda_from_pls_cv | Cross-validated LDA/QDA classification from PLS model |
| LW | Filter methods for variable selection with Partial Least Squares. |
| mcuve_pls | Uninformative variable elimination in PLS (UVE-PLS) |
| mRMR | Filter methods for variable selection with Partial Least Squares. |
| mvrV | Multivariate regression function |
| myImagePlot | Matrix plotting |
| plot.shaved | Repeated shaving of variables |
| plsVarSel | Variable selection in Partial Least Squares |
| print.shaved | Repeated shaving of variables |
| RC | Filter methods for variable selection with Partial Least Squares. |
| rep_pls | Regularized elimination procedure in PLS |
| setDA | Set chosen Discriminant Analysis |
| shaving | Repeated shaving of variables |
| simulate_classes | Simulate classes |
| simulate_data | Simulate classes |
| sMC | Filter methods for variable selection with Partial Least Squares. |
| spa_pls | Sub-window permutation analysis coupled with PLS (SwPA-PLS) |
| SR | Filter methods for variable selection with Partial Least Squares. |
| stpls | Soft-Threshold PLS (ST-PLS) |
| summary.mvrV | Summary method for stpls and trunc |
| T2_pls | Hotelling's T^2 based variable selection in PLS - T^2-PLS) |
| truncation | Trunction PLS |
| URC | Filter methods for variable selection with Partial Least Squares. |
| VIP | Filter methods for variable selection with Partial Least Squares. |
| WVC_pls | Weighted Variable Contribution in PLS (WVC-PLS) |