Use Known Groups in High-Dimensional Data to Derive Scores for Plots

Cross-validated linear discriminant calculations determine the optimum number of features. Test and training scores from successive cross-validation steps determine, via a principal components calculation, a low-dimensional global space onto which test scores are projected, in order to plot them. Further functions are included that are intended for didactic use. The package implements, and extends, methods described in J.H. Maindonald and C.J. Burden (2005) <>.


Reference manual

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0.59 by John Maindonald, 8 months ago

Browse source code at

Authors: John Maindonald

Documentation:   PDF Manual  

Task views: Multivariate Statistics

GPL (>= 2) license

Imports MASS, multtest

Suggests knitr

See at CRAN