| alr {chemometrics} | additive logratio transformation |
| ash {chemometrics} | ash data |
| cereal {chemometrics} | Data from cereals |
| chemometrics {chemometrics} | This package is the R companion to the book "Introduction to Multivariate
Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009). |
| clr {chemometrics} | centered logratio transformation |
| clvalidity {chemometrics} | compute and plot cluster validity |
| drawMahal {chemometrics} | Draws ellipses according to Mahalanobis distances |
| glass {chemometrics} | glass vessels data |
| glass.grp {chemometrics} | glass types of the glass data |
| hyptis {chemometrics} | Hyptis data set |
| ilr {chemometrics} | isometric logratio transformation |
| knnEval {chemometrics} | kNN evaluation by CV |
| lassocoef {chemometrics} | Plot Lasso coefficients |
| lassoCV {chemometrics} | CV for Lasso regression |
| lmCV {chemometrics} | Repeated Cross Validation for lm |
| Moutlier {chemometrics} | Plots classical and robust Mahalanobis distances |
| mvr_dcv {chemometrics} | Repeated double-cross-validation for PLS and PCR |
| nipals {chemometrics} | PCA calculation with the NIPALS algorithm |
| NIR {chemometrics} | NIR data |
| nnetEval {chemometrics} | Neural network evaluation by CV |
