Accuracy                accuracy of oblique decision random forest
ODBT                    Classification and Regression using the
                        Ensemble of ODT-based Boosting Trees
ODRF                    Classification and Regression using Oblique
                        Decision Random Forest
ODT                     Classification and Regression with Oblique
                        Decision Tree
PPO                     Projection Pursuit Optimization
RandRot                 Samples a p x p uniformly random rotation
                        matrix
RotMatMake              Create rotation matrix used to determine the
                        linear combination of features.
RotMatPPO               Create a Projection Matrix: RotMatPPO
RotMatRF                Create a Projection Matrix: Random Forest (RF)
RotMatRand              Random Rotation Matrix
VarImp                  Extract variable importance measure
as.party.ODT            'ODT' as 'party'
best.cut.node           find best splitting variable and node
defaults                Default values passed to RotMat*
online.ODRF             using new training data to update an existing
                        'ODRF'.
online.ODT              using new training data to update an existing
                        'ODT'.
plot.Accuracy           plot method for 'Accuracy' objects
plot.ODT                to plot an oblique decision tree
plot.VarImp             Variable Importance Plot
plot.prune.ODT          to plot pruned oblique decision tree
plot_ODT_depth          plot oblique decision tree depth
predict.ODRF            predict based on an ODRF object
predict.ODT             making predict based on ODT objects
print.ODRF              print ODRF
print.ODT               print ODT result
prune.ODRF              Pruning of class 'ODRF'.
prune.ODT               pruning of class 'ODT'
