| DiscriMiner-package | Tools of the Trade for Discriminant Analysis |
| betweenCov | Between-class Covariance Matrix |
| betweenSS | Between-class Sum of Squares Matrix |
| binarize | Binarize a data frame into a super-indicator matrix |
| bordeaux | Bordeaux Wines Dataset |
| classify | Classification function |
| corRatio | Correlation Ratio |
| desDA | Descriptive Discriminant Analysis |
| discPower | Discriminant Power |
| disqual | Discriminant Analysis on Qualitative Variables |
| easyMCA | Multiple Correspondence Analysis |
| FRatio | F-Statistic Ratio |
| geoDA | Geometric Predictive Discriminant Analysis |
| getWithin | Within-class Covariance Matrix |
| groupMeans | Group Means |
| groupMedians | Group Medians |
| groupQuants | Group Quantiles |
| groupStds | Group Standard Deviations |
| groupVars | Group Variances |
| infarctus | Infarctus dataset |
| insurance | Insurance Dataset |
| linDA | Linear Discriminant Analysis |
| plsDA | PLS Discriminant Analysis |
| quaDA | Quadratic Discriminant Analysis |
| totalCov | Total Covariance Matrix |
| totalSS | Total Sum of Squares Matrix |
| withinCov | Within-class Covariance Matrix |
| withinSS | Within-class Sum of Squares Matrix |