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Factor analysis
- 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, and scree plots
- Squared multiple correlations
- Orthogonal and oblique rotations
- Kaiser normalization
- Varimax, quartimax, oblimax, parsimax, equamax, and promax rotation
- Minimum entropy rotation
- Comrey’s tandem
- Rotate toward a target matrix
Discriminant analysis
- Linear
- Quadratic
- Logistic
- kth nearest neighbor
- Classification tables
- Error rates
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Multivariate tests
- One- and multisample
- Means, covariances, and correlations
- Tests of normality
- Doornik–Hansen
- Henze–Zirkler
- Two by Mardia
Multidimensional scaling
- Modern metric and nonmetric 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
Correspondence analysis
- Two-way correspondence analysis
- Multiple correspondence analysis (MCA)
- Joint correspondence analysis (JCA)
- Work with cross-tabulations of categorical variables or matrices of counts
- Coordinates in column space
- Coordinates in row space (with two-way CA)
- Stacked (crossed) variables
- Chi-squared distances
- Inertia contributions
- Row and column profiles (conditional distributions)
- Fitted, observed, and expected correspondence tables
- Matrix of inertias (after JCA)
- Biplots
- Projection plots
- Correlations of profiles and loadings
Procrustes analysis
- Orthogonal, oblique, and unrestricted transformations
- Overlayed graphs comparing target variables and fitted values of
source variables
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
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