Multivariate Statistical Analysis in Chemometrics

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Documentation for package ‘chemometrics’ version 1.4.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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