| Chapter Introduction | |
| G03AAF | Performs principal component analysis |
| G03ACF | Performs canonical variate analysis |
| G03ADF | Performs canonical correlation analysis |
| G03BAF | Computes orthogonal rotations for loading matrix, generalized orthomax criterion |
| G03BCF | Computes Procrustes rotations |
| G03CAF | Computes maximum likelihood estimates of the parameters of a factor analysis model, factor loadings, communalities and residual correlations |
| G03CCF | Computes factor score coefficients (for use after G03CAF) |
| G03DAF | Computes test statistic for equality of within-group covariance matrices and matrices for discriminant analysis |
| G03DBF | Computes Mahalanobis squared distances for group or pooled variance-covariance matrices (for use after G03DAF) |
| G03DCF | Allocates observations to groups according to selected rules (for use after G03DAF) |
| G03EAF | Computes distance matrix |
| G03ECF | Hierarchical cluster analysis |
| G03EFF | K-means cluster analysis |
| G03EHF | Constructs dendrogram (for use after G03ECF) |
| G03EJF | Computes cluster indicator variable (for use after G03ECF) |
| G03FAF | Performs principal co-ordinate analysis, classical metric scaling |
| G03FCF | Performs non-metric (ordinal) multidimensional scaling |
| G03ZAF | Produces standardized values (z-scores) for a data matrix |