| abalone | Abalone |
| bodyfat | Bodyfat |
| caretSlopeOwl | Model objects for model tuning with caret |
| coef.Owl | Obtain coefficients |
| deviance.Owl | Model deviance |
| heart | Heart disease |
| owl | Generalized linear models regularized with the SLOPE (OWL) norm |
| plot.Owl | Plot coefficients |
| plot.TrainedOwl | Plot results from cross-validation |
| plotDiagnostics | Plot results from diagnostics collected during model fitting |
| predict.Owl | Generate predictions from owl models |
| predict.OwlBinomial | Generate predictions from owl models |
| predict.OwlGaussian | Generate predictions from owl models |
| predict.OwlMultinomial | Generate predictions from owl models |
| predict.OwlPoisson | Generate predictions from owl models |
| print.Owl | Print results from owl fit |
| print.TrainedOwl | Print results from owl fit |
| score | Compute one of several loss metrics on a new data set |
| score.OwlBinomial | Compute one of several loss metrics on a new data set |
| score.OwlGaussian | Compute one of several loss metrics on a new data set |
| score.OwlMultinomial | Compute one of several loss metrics on a new data set |
| score.OwlPoisson | Compute one of several loss metrics on a new data set |
| student | Student performance |
| trainOwl | Train a owl model |
| wine | Wine cultivars |