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| ability.cov | Ability and Intelligence Tests |
| as.dendrogram | General Tree Structures |
| 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 |
| cut.dendrogram | General Tree Structures |
| cutree | Cut a tree into groups of data |
| dendrogram | General Tree Structures |
| dist | Distance Matrix Computation |
| factanal | Factor Analysis |
| factanal.fit.mle | Factor Analysis |
| format.dist | Distance Matrix Computation |
| Harman23.cor | Harman Example 2.3 |
| Harman74.cor | Harman Example 7.4 |
| hclust | Hierarchical Clustering |
| identify.hclust | Identify Clusters in a Dendrogram |
| kmeans | K-Means Clustering |
| loadings | Principal Components Analysis |
| names.dist | Distance Matrix Computation |
| plot.dendrogram | General Tree Structures |
| plot.hclust | Hierarchical Clustering |
| plot.prcomp | Principal Components Analysis |
| plot.princomp | Principal Components Analysis |
| plotNode | General Tree Structures |
| plotNodeLimit | General Tree Structures |
| prcomp | Principal Components Analysis |
| predict.princomp | Principal Components Analysis |
| princomp | Principal Components Analysis |
| print.dist | Distance Matrix Computation |
| print.factanal | Factor Analysis |
| print.hclust | Hierarchical Clustering |
| print.loadings | Factor Analysis |
| print.prcomp | Principal Components Analysis |
| print.princomp | Principal Components Analysis |
| print.summary.prcomp | Principal Components Analysis |
| promax | Rotation Methods for Factor Analysis |
| rect.hclust | Draw Rectangles Around Hierarchical Clusters |
| screeplot | Principal Components Analysis |
| summary.prcomp | Principal Components Analysis |
| summary.princomp | Principal Components Analysis |
| varimax | Rotation Methods for Factor Analysis |