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.
| Version: | 6.1.1 |
| Depends: | R (≥ 3.0.2) |
| Imports: | pls,spls,foreach,doParallel,ggplot2,reshape2,plotly |
| Suggests: | knitr,rmarkdown |
| Published: | 2025-07-29 |
| 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) |
| URL: | https://nanx.me/enpls/,https://github.com/nanxstats/enpls |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| In views: | AnomalyDetection,ChemPhys |
| CRAN checks: | enpls results |
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