• Works on datasets or correlation matrices
• Principal-components factor
• Principal factor
• Interated principal factor
• ML factors
• Rotations
• Anti-image correlation matrices
• Kaiser–Meyer–Olkin measure of sampling adequacy
• Squared multiple correlations
• Bartlett scoring
• Regression scoring

Principal components

• Works with datasets or correlation or covariance matrices
• Standard errors of eigenvalues and vectors
• Rotations
• Anti-image correlation matrices
• Kaiser–Meyer–Olkin measure of sampling adequacy
• Loading plots, score plots, scree plots
• Squared multiple correlations

• Orthogonal and oblique rotations
• Horst normalization
• Varimax, quartimax, oblimax, parsimax, equamax, promax rotation
• Minimum entropy rotation
• Comrey's tandem
• Rotate toward a target matrix

Multidimensional scaling

• Classic metric multidimensional scaling
• Works on datasets or matrices of distances
• 33 similarity/dissimilarity measures
• Coordinates of approximating configuration
• Correlations between dissimilarities and distances
• Kruskal stress measure
• Shepard diagram
• Plots of approximation Euclidian configuration

Procrustes analysis

• Orthogonal, oblique, and unrestricted transformations
• Overlayed graphs comparing target variables and fitted values of source variables

Two-way correspondence analysis

• Works with cross-tabulation of two categorical variables or a matrix of counts
• Coordinates in row and column space
• Chi-squared distances
• Inertia contributions
• Row and column profiles (conditional distributions)
• Fitted, observed, and expected correspondence tables
• Biplots
• Projection plots

Biplots

Canonical correlations

Tetrachoric correlations

Zellner's seemingly unrelated regression

Multivariate linear regression

Hotelling's T-squared

Tests for identifying multivariate outliers

Cluster analysis

MANOVA