| abalone | Abalone |
| bodyfat | Bodyfat |
| caretSLOPE | Model objects for model tuning with caret (deprecated) |
| coef.SLOPE | Obtain coefficients |
| deviance.SLOPE | Model deviance |
| heart | Heart disease |
| plot.SLOPE | Plot coefficients |
| plot.TrainedSLOPE | Plot results from cross-validation |
| plotDiagnostics | Plot results from diagnostics collected during model fitting |
| predict.BinomialSLOPE | Generate predictions from SLOPE models |
| predict.GaussianSLOPE | Generate predictions from SLOPE models |
| predict.MultinomialSLOPE | Generate predictions from SLOPE models |
| predict.PoissonSLOPE | Generate predictions from SLOPE models |
| predict.SLOPE | Generate predictions from SLOPE models |
| print.SLOPE | Print results from SLOPE fit |
| print.TrainedSLOPE | Print results from SLOPE fit |
| regularizationWeights | Generate Regularization (Penalty) Weights for SLOPE |
| score | Compute one of several loss metrics on a new data set |
| score.BinomialSLOPE | Compute one of several loss metrics on a new data set |
| score.GaussianSLOPE | Compute one of several loss metrics on a new data set |
| score.MultinomialSLOPE | Compute one of several loss metrics on a new data set |
| score.PoissonSLOPE | Compute one of several loss metrics on a new data set |
| SLOPE | Sorted L-One Penalized Estimation |
| sortedL1Prox | Sorted L1 Proximal Operator |
| student | Student performance |
| trainSLOPE | Train a SLOPE model |
| wine | Wine cultivars |