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@ -424,6 +424,41 @@ the plog header-only C++ logging library, and a method to log to R's standard
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error stream.")
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error stream.")
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(license license:expat)))
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(license license:expat)))
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(define-public r-pls
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(package
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(name "r-pls")
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(version "2.6-0")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "pls" version))
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(sha256
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(base32
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"15j59p5x0rkdrk7iqzkipsy50rsyjl31w8zxc4w3v1j5gzxhi1rx"))))
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(build-system r-build-system)
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(home-page "http://mevik.net/work/software/pls.html")
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(synopsis "Partial Least Squares and Principal Component Regression")
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(description
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"The pls package implements multivariate regression methods: Partial Least
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Squares Regression (@dfn{PLSR}), Principal Component Regression (@dfn{PCR}), and
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Canonical Powered Partial Least Squares (@dfn{CPPLS}). It supports:
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@itemize
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@item several algorithms: the traditional orthogonal scores (@dfn{NIPALS}) PLS
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algorithm, kernel PLS, wide kernel PLS, Simpls, and PCR through @code{svd}
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@item multi-response models (or @dfn{PLS2})
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@item flexible cross-validation
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@item Jackknife variance estimates of regression coefficients
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@item extensive and flexible plots: scores, loadings, predictions, coefficients,
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(R)MSEP, R², and correlation loadings
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@item formula interface, modelled after @code{lm()}, with methods for predict,
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print, summary, plot, update, etc.
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@item extraction functions for coefficients, scores, and loadings
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@item MSEP, RMSEP, and R² estimates
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@item multiplicative scatter correction (@dfn{MSC})
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@end itemize\n")
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(license license:gpl2)))
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(define-public r-rcpp
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(define-public r-rcpp
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(package
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(package
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(name "r-rcpp")
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(name "r-rcpp")
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