| Chapter Introduction | |
| g03aac | nag_mv_prin_comp Principal component analysis |
| g03acc | nag_mv_canon_var Canonical variate analysis |
| g03adc | nag_mv_canon_corr Canonical correlation analysis |
| g03bac | nag_mv_orthomax Orthogonal rotations for loading matrix |
| g03bcc | nag_mv_procustes Procrustes rotations |
| g03cac | nag_mv_factor Maximum likelihood estimates of parameters |
| g03ccc | nag_mv_fac_score Factor score coefficients, following nag_mv_factor (g03cac) |
| g03dac | nag_mv_discrim Test for equality of wthin-group covariance matrices |
| g03dbc | nag_mv_discrim_mahaldist Mahalanobis squared distances, following nag_mv_discrim (g03dac) |
| g03dcc | nag_mv_discrim_group Allocation of observations to groups, following nag_mv_discrim (g03dac) |
| g03eac | nag_mv_distance_mat Compute distance (dissimilarity) matrix |
| g03ecc | nag_mv_hierar_cluster_analysis Performs hierarchical cluster analysis |
| g03efc | nag_mv_kmeans_cluster_analysis K-means |
| g03ehc | nag_mv_dendrogram Construct dendogram following nag_mv_hierar_cluster_analysis (g03ecc) |
| g03ejc | nag_mv_cluster_indicator Construct clusters following nag_mv_hierar_cluster_analysis (g03ecc) |
| g03fac | nag_mv_prin_coord_analysis Principal co-ordinate analysis |
| g03fcc | nag_mv_ordinal_multidimscale Multidimensional scaling |
| g03xzc | nag_mv_dend_free Frees memory allocated to the dendrogram array in nag_mv_dendrogram (g03ehc) |
| g03zac | nag_mv_z_scores Standardize values of a data matrix |