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| as.dist | Distance Matrix Computation |
| as.hclust | Convert Objects to Class hclust |
| as.matrix.dist | Distance Matrix Computation |
| biplot | Biplot of Multivariate Data |
| biplot.princomp | Biplot for Principal Components |
| cancor | Canonical Correlations |
| cmdscale | Classical (Metric) Multidimensional Scaling |
| cutree | Cut a tree into groups of data |
| dist | Distance Matrix Computation |
| hclust | Hierarchical Clustering |
| identify.hclust | Identify Clusters in a Dendrogram |
| kmeans | K-Means Clustering |
| loadings | Principal Components Analysis |
| names.dist | Distance Matrix Computation |
| plot.hclust | Hierarchical Clustering |
| plot.prcomp | Principal Components Analysis |
| plot.princomp | Principal Components Analysis |
| prcomp | Principal Components Analysis |
| predict.princomp | Principal Components Analysis |
| princomp | Principal Components Analysis |
| print.dist | Distance Matrix Computation |
| print.hclust | Hierarchical Clustering |
| print.prcomp | Principal Components Analysis |
| print.princomp | Principal Components Analysis |
| print.summary.prcomp | Principal Components Analysis |
| rect.hclust | Draw Rectangles Around Hierarchical Clusters |
| screeplot | Principal Components Analysis |
| summary.prcomp | Principal Components Analysis |
| summary.princomp | Principal Components Analysis |