An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
Version: 6.1 Depends: R (≥ 3.0.2) Imports: pls, spls, foreach, doParallel, ggplot2, reshape2, plotly Suggests: knitr, rmarkdown Published: 2019-05-18 DOI: 10.32614/CRAN.package.enpls Author: Nan Xiao [aut, cre], Dong-Sheng Cao [aut], Miao-Zhu Li [aut], Qing-Song Xu [aut] Maintainer: Nan Xiao <me at nanx.me> BugReports: https://github.com/nanxstats/enpls/issues License: GPL-3 | file LICENSE URL: https://nanx.me/enpls/, https://github.com/nanxstats/enpls NeedsCompilation: no Materials: README NEWS In views: ChemPhys CRAN checks: enpls results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=enpls to link to this page.
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