chemometrics-package |
This package is the R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009). |

alr |
additive logratio transformation |

ash |
ash data |

cereal |
Data from cereals |

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 |
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 validation |

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 |