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chemometrics (version 1.4.1)
Multivariate Statistical Analysis in Chemometrics
Description
R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009).
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install.packages('chemometrics')
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3,505
Version
1.4.1
License
GPL (>= 3)
Maintainer
P. Filzmoser
Last Published
August 3rd, 2016
Functions in chemometrics (1.4.1)
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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).
clr
centered logratio transformation
cereal
Data from cereals
glass
glass vessels data
alr
additive logratio transformation
drawMahal
Draws ellipses according to Mahalanobis distances
delintercept
Delete intercept from model matrix
glass.grp
glass types of the glass data
ash
ash data
clvalidity
compute and plot cluster validity
knnEval
kNN evaluation by CV
lassoCV
CV for Lasso regression
lassocoef
Plot Lasso coefficients
lmCV
Repeated Cross Validation for lm
hyptis
Hyptis data set
Moutlier
Plots classical and robust Mahalanobis distances
ilr
isometric logratio transformation
mvr_dcv
Repeated double-cross-validation for PLS and PCR
nipals
PCA calculation with the NIPALS algorithm
NIR
NIR data
plotpredmvr
Plot predictions from repeated DCV
plotcompprm
Component plot for repeated DCV of PRM
plotcompmvr
Component plot for repeated DCV
nnetEval
Neural network evaluation by CV
PAC
GC retention indices
pcaVarexpl
PCA diagnostics for variables
plotpredprm
Plot predictions from repeated DCV of PRM
pcaCV
Determine the number of PCA components with repeated cross validation
Phenyl
Phenyl data set
pcaDiagplot
Diagnostics plot for PCA
plotresmvr
Plot residuals from repeated DCV
pls_eigen
Eigenvector algorithm for PLS
plotsom
Plot SOM results
plotprm
Plot results from robust PLS
plotSEPmvr
Plot SEP from repeated DCV
plotSEPprm
Plot trimmed SEP from repeated DCV of PRM
plotRidge
Plot results of Ridge regression
plotresprm
Plot residuals from repeated DCV of PRM
pls1_nipals
PLS1 by NIPALS
pls2_nipals
PLS2 by NIPALS
treeEval
Classification tree evaluation by CV
RPvectors
Generating random projection directions
prm
Robust PLS
prm_cv
Cross-validation for robust PLS
svmEval
Support Vector Machine evaluation by CV
prm_dcv
Repeated double-cross-validation for robust PLS
stepwise
Stepwise regression
sd_trim
Trimmed standard deviation
ridgeCV
Repeated CV for Ridge regression