| alr | additive logratio transformation |
| ash | ash data |
| cereal | Data from cereals |
| chemometrics | This package is the R companion to the book "Introduction to... |
| clr | centered logratio transformation |
| clvalidity | compute and plot cluster validity |
| delintercept | Delete intercept from model matrix |
| drawMahal | Draws ellipses according to Mahalanobis distances |
| glass | glass vessels data |
| glass.grp | glass types of the glass data |
| hyptis | Hyptis data set |
| ilr | isometric logratio transformation |
| knnEval | kNN evaluation by CV |
| lassocoef | Plot Lasso coefficients |
| lassoCV | CV for Lasso regression |
| lmCV | Repeated Cross Validation for lm |
| Moutlier | Plots classical and robust Mahalanobis distances |
| mvr_dcv | Repeated double-cross-validation for PLS and PCR |
| nipals | PCA calculation with the NIPALS algorithm |
| NIR | NIR data |
| nnetEval | Neural network evaluation by CV |
| PAC | GC retention indices |
| pcaCV | Determine the number of PCA components with repeated cross... |
| pcaDiagplot | Diagnostics plot for PCA |
| pcaVarexpl | PCA diagnostics for variables |
| Phenyl | Phenyl data set |
| plotcompmvr | Component plot for repeated DCV |
| plotcompprm | Component plot for repeated DCV of PRM |
| plotpredmvr | Plot predictions from repeated DCV |
| plotpredprm | Plot predictions from repeated DCV of PRM |
| plotprm | Plot results from robust PLS |
| plotresmvr | Plot residuals from repeated DCV |
| plotresprm | Plot residuals from repeated DCV of PRM |
| plotRidge | Plot results of Ridge regression |
| plotSEPmvr | Plot SEP from repeated DCV |
| plotSEPprm | Plot trimmed SEP from repeated DCV of PRM |
| plotsom | Plot SOM results |
| pls1_nipals | PLS1 by NIPALS |
| pls2_nipals | PLS2 by NIPALS |
| pls_eigen | Eigenvector algorithm for PLS |
| prm | Robust PLS |
| prm_cv | Cross-validation for robust PLS |
| prm_dcv | Repeated double-cross-validation for robust PLS |
| ridgeCV | Repeated CV for Ridge regression |
| RPvectors | Generating random projection directions |
| sd_trim | Trimmed standard deviation |
| stepwise | Stepwise regression |
| svmEval | Support Vector Machine evaluation by CV |
| treeEval | Classification tree evaluation by CV |
