gnu: Add r-chemometrics.
* gnu/packages/cran.scm (r-chemometrics): New variable.
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@ -17268,6 +17268,45 @@ order (univariate) isotonic regression and bivariate isotonic regression with
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linear order on both variables.")
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linear order on both variables.")
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(license license:gpl2+)))
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(license license:gpl2+)))
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(define-public r-chemometrics
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(package
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(name "r-chemometrics")
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(version "1.4.2")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "chemometrics" version))
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(sha256
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(base32 "0shqns0n964pfwnd0q5sadglrlpgs4g5fbv45fsj9p37l4pq61dp"))))
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(properties `((upstream-name . "chemometrics")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-class
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r-e1071
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r-lars
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r-mass
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r-mclust
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r-nnet
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r-pcapp
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r-pls
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r-robustbase
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r-rpart
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r-som))
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(home-page "http://www.statistik.tuwien.ac.at/public/filz/")
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(synopsis "Multivariate statistical analysis in Chemometrics")
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(description
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"Multivariate data analysis is the simultaneous observation of more than
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one characteristic. In contrast to the analysis of univariate data, in this
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approach not only a single variable or the relation between two variables can
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be investigated, but the relations between many attributes can be considered.
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For the statistical analysis of chemical data one has to take into account the
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special structure of this type of data. This package contains about 30
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functions, mostly for regression, classification and model evaluation and
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includes some data sets used in the R help examples. It was designed as a R
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companion to the book \"Introduction to Multivariate Statistical Analysis in
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Chemometrics\" written by K. Varmuza and P. Filzmoser (2009).")
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(license license:gpl3+)))
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(define-public r-chemometricswithr
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(define-public r-chemometricswithr
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(package
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(package
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(name "r-chemometricswithr")
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(name "r-chemometricswithr")
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