| 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 |