chemometrics v1.4.2
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Functions in chemometrics
| Name | Description | |
| chemometrics-package | ||
| clr | centered logratio transformation | |
| plotresmvr | Plot residuals from repeated DCV | |
| treeEval | Classification tree evaluation by CV | |
| plotprm | Plot results from robust PLS | |
| lassocoef | Plot Lasso coefficients | |
| ilr | isometric logratio transformation | |
| prm | Robust PLS | |
| nnetEval | Neural network evaluation by CV | |
| plotcompmvr | Component plot for repeated DCV | |
| ridgeCV | Repeated CV for Ridge regression | |
| plotcompprm | Component plot for repeated DCV of PRM | |
| lassoCV | CV for Lasso regression | |
| knnEval | kNN evaluation by CV | |
| pls_eigen | Eigenvector algorithm for PLS | |
| pcaVarexpl | PCA diagnostics for variables | |
| Phenyl | Phenyl data set | |
| plotresprm | Plot residuals from repeated DCV of PRM | |
| plotsom | Plot SOM results | |
| pcaCV | Determine the number of PCA components with repeated cross validation | |
| ash | ash data | |
| NIR | ||
| Moutlier | Plots classical and robust Mahalanobis distances | |
| pcaDiagplot | Diagnostics plot for PCA | |
| delintercept | Delete intercept from model matrix | |
| plotpredprm | Plot predictions from repeated DCV of PRM | |
| glass.grp | glass types of the glass data | |
| lmCV | Repeated Cross Validation for lm | |
| cereal | Data from cereals | |
| hyptis | Hyptis data set | |
| sd_trim | Trimmed standard deviation | |
| plotpredmvr | Plot predictions from repeated DCV | |
| stepwise | Stepwise regression | |
| mvr_dcv | Repeated double-cross-validation for PLS and PCR | |
| svmEval | Support Vector Machine evaluation by CV | |
| PAC | GC retention indices | |
| plotSEPmvr | Plot SEP from repeated DCV | |
| plotSEPprm | Plot trimmed SEP from repeated DCV of PRM | |
| plotRidge | Plot results of Ridge regression | |
| alr | additive logratio transformation | |
| drawMahal | Draws ellipses according to Mahalanobis distances | |
| glass | glass vessels data | |
| pls2_nipals | PLS2 by NIPALS | |
| prm_cv | Cross-validation for robust PLS | |
| pls1_nipals | PLS1 by NIPALS | |
| prm_dcv | Repeated double-cross-validation for robust PLS | |
| RPvectors | Generating random projection directions | |
| nipals | PCA calculation with the NIPALS algorithm | |
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Vignettes of chemometrics
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[](http://www.rdocumentation.org/packages/chemometrics)