| VDA-package | Multicategory Vertex Discriminant Analysis |
| cv.vda | Choose lambda using K-fold cross validation |
| cv.vda.le | Choose the optimal pair of lambdas, lambda_1 and lambda_2 |
| cv.vda.le.default | Choose the optimal pair of lambdas, lambda_1 and lambda_2 |
| cv.vda.r | Choose lambda using K-fold cross validation |
| cv.vda.r.default | Choose lambda using K-fold cross validation |
| plot.cv.vda | Plot a cv.vda.r object |
| plot.cv.vda.le | Plot a cv.vda.le object |
| plot.cv.vda.r | Plot a cv.vda.r object |
| predict.vda | Predict a vda.r object. |
| predict.vda.le | Predict a vda.le object. |
| predict.vda.r | Predict a vda.r object. |
| print.vda | Print a vda.r object |
| print.vda.le | Print a vda.le object |
| print.vda.r | Print a vda.r object |
| summary.vda | Summary for a vda.r object |
| summary.vda.le | Summary for a vda.le object |
| summary.vda.r | Summary for a vda.r object |
| vda | Vertex Discriminant Analysis |
| vda.le | Multicategory Vertex Discriminant Analysis (VDA) For High-Dimensional Data |
| vda.r | Vertex Discriminant Analysis |
| vda.r.default | Vertex Discriminant Analysis |
| zoo | zoo data |