@@ -17025,6 +17025,44 @@ (define-public r-chemometricswithr
Life Sciences\" by Ron Wehrens, Springer (2011).")
(license license:gpl2+)))
+(define-public r-chemometrics
+ (package
+ (name "r-chemometrics")
+ (version "1.4.2")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "chemometrics" version))
+ (sha256
+ (base32 "0shqns0n964pfwnd0q5sadglrlpgs4g5fbv45fsj9p37l4pq61dp"))))
+ (properties `((upstream-name . "chemometrics")))
+ (build-system r-build-system)
+ (propagated-inputs
+ (list r-class
+ r-e1071
+ r-lars
+ r-mass
+ r-mclust
+ r-nnet
+ r-pcapp
+ r-pls
+ r-robustbase
+ r-rpart
+ r-som))
+ (home-page "http://www.statistik.tuwien.ac.at/public/filz/")
+ (synopsis "Multivariate statistical analysis in Chemometrics")
+ (description
+ "Multivariate data analysis is the simultaneous observation of more than one
+characteristic. In contrast to the analysis of univariate data, in this approach
+not only a single variable or the relation between two variables can be investigated,
+but the relations between many attributes can be considered. For the statistical
+analysis of chemical data one has to take into account the special structure of
+this type of data. This package contains about 30 functions, mostly for regression,
+classification and model evaluation and includes some data sets used in the R help
+examples. It was designed as a R companion to the book \"Introduction to Multivariate
+Statistical Analysis in Chemometrics\" written by K. Varmuza and P. Filzmoser (2009).")
+ (license license:gpl3+)))
+
(define-public r-als
(package
(name "r-als")