| npmr-package | Nuclear penalized multinomial regression | 
| cv.npmr | Cross-validated nuclear penalized multinomial regression | 
| logL | Log-likelihood for multinomial regression model | 
| npmr | Nuclear penalized multinomial regression | 
| nuclear | Nuclear norm of a matrix | 
| objective | NPMR objective function | 
| objectiveFast | Shortcut computation for NPMR objective function | 
| PGDnpmr | Proximal gradient descent for nuclear penalized multinomial regression | 
| plot.cv.npmr | Visualize the regression coefficient matrix fit by cross-validated NPMR | 
| plot.npmr | Visualize the regression coefficient matrix fit by cross-validated NPMR | 
| predict.cv.npmr | Make predictions from a "cv.npmr" object | 
| predict.npmr | Make predictions from a "npmr" object | 
| print.cv.npmr | summarize a "cv.npmr" object | 
| print.npmr | Summarize a "npmr" object | 
| prox | Proximal operator for nuclear norm | 
| Vowel | Vowel Recognition |