enpls: Ensemble Partial Least Squares Regression

An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

Package details

AuthorNan Xiao [aut, cre] (<https://orcid.org/0000-0002-0250-5673>), Dong-Sheng Cao [aut], Miao-Zhu Li [aut], Qing-Song Xu [aut]
MaintainerNan Xiao <me@nanx.me>
LicenseGPL-3 | file LICENSE
Version6.1
URL https://nanx.me/enpls/ https://github.com/nanxstats/enpls
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("enpls")

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enpls documentation built on May 18, 2019, 9:02 a.m.