Included are functions for multivariate statistical methods, tools for diagnostics, multivariate calibration, cross validation and bootstrap, clustering, etc.
|License:||GPL (>= 2)|
The package can be used to verify the examples in the book. It can also be used to analyze own data.
P. Filzmoser <[email protected]
K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.
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