proportion of variables randomly sampled in each split, default is 1, returns a PPtree.
lambda
penalty parameter in PDA index and is between 0 to 1 . If lambda = 0, no penalty parameter is added and the PDA index is the same as LDA index. If lambda = 1 all variables are treated as uncorrelated. The default value is lambda = 0.1.
...
arguments to be passed to methods
Value
An object of class PPtreeclass with components
Tree.Struct
Tree structure of projection pursuit classification tree
projbest.node
1-dim optimal projections of each split node
splitCutoff.node
cutoff values of each split node
origclass
original class
origdata
original data
References
Lee, YD, Cook, D., Park JW, and Lee, EK (2013)
PPtree: Projection pursuit classification tree,
Electronic Journal of Statistics, 7:1369-1386.