Canonical Correlations and Tests of Independence
Description
A simple interface for multivariate correlation analysis that unifies various classical
statistical procedures including t-tests, tests in univariate and multivariate linear models,
parametric and nonparametric tests for correlation, Kruskal-Wallis tests, common approximate
versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score
tests of particular hypotheses in generalized linear models, canonical correlation analysis and
linear discriminant analysis.