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windows.pls: Segmentation Approaches in Chemometrics
Evaluation of prediction performance of smaller regions of spectra for Chemometrics. Segmentation of spectra, evolving dimensions regions and sliding windows as selection methods. Election of the best model among those computed based on error metrics. Chen et al.(2017) <doi:10.1007/s00216-017-0218-9>.
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Package details |
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| Author | Elia Gonzato [aut, cre, cph] |
| Maintainer | Elia Gonzato <elia.gonzato@outlook.it> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://github.com/egonzato/windows.pls |
| Package repository | View on CRAN |
| Installation |
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