NCI60                   NCI60 data set
PPclassify2             Predict class for the test set and calculate
                        prediction error after finding the PPtree
                        structure, .
PPforest                Projection Pursuit Random Forest
PPtree_split            Projection pursuit classification tree with
                        random variable selection in each split
baggtree                For each bootstrap sample grow a projection
                        pursuit tree (PPtree object).
crab                    Astralian crabs
fishcatch               Fish catch data set
glass                   Glass data set
image                   The image data set
leukemia                Leukemia data set This dataset comes from a
                        study of gene expression in two types of acute
                        leukemias, acute lymphoblastic leukemia (ALL)
                        and acute myeloid leukemia (AML). Gene
                        expression levels were measured using
                        Affymetrix high density oligonucleotide arrays
                        containing 6817 human genes. A data set
                        containing 72 observations from 3 leukemia
                        types classes.  • Type has 3 classes with 38
                        cases of B-cell ALL, 25 cases of AML and 9
                        cases of T-cell ALL.  • Gene1 to Gen 40 gene
                        expression levels
lymphoma                Lymphoma data set
node_data               Data structure with the projected and boundary
                        by node and class.
olive                   The olive data set
parkinson               Parkinson data set
permute_importance      Obtain the permuted importance variable measure
ppf_avg_imp             Global importance measure for a PPforest object
                        as the average IMP PPtree measure over all the
                        trees in the forest
ppf_global_imp          Global importance measure for a PPforest object
print.PPforest          Print PPforest object
ternary_str             Data structure with the projected and boundary
                        by node and class.
trees_pred              Obtain predicted class for new data from
                        baggtree function or PPforest
wine                    Wine data set
