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proximetricsR: Spectral Preprocessing and Chemometric Calibration of NIR Sensors
Provides tools to build quantitative chemometric models and applications for near-infrared (NIR) sensors. Chemometric regression models are based on partial least squares regression as described by Wold (1975) <doi:10.1016/B978-0-12-103950-9.50017-4> and modified partial least squares regression as described by Shenk and Westerhaus (1991) <doi:10.2135/cropsci1991.0011183X003100020049x>, with further discussion by Westerhaus (2014) <doi:10.1255/nirn.1492>.
Getting started
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Package details |
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| Author | Leonardo Ramirez-Lopez [aut, cre] (ORCID: <https://orcid.org/0000-0002-5369-5120>), Claudio Orellano [aut] (ORCID: <https://orcid.org/0009-0005-7523-4236>), Nicolae Cudlenco [aut] (ORCID: <https://orcid.org/0000-0001-6547-3659>), Mai Said [aut] (ORCID: <https://orcid.org/0000-0001-6979-8725>), Mohamed Abushosha [aut], Marcal Plans [aut] (ORCID: <https://orcid.org/0000-0001-9894-2626>) |
| Maintainer | Leonardo Ramirez-Lopez <ramirez-lopez.l@buchi.com> |
| License | MIT + file LICENSE |
| Version | 0.7.1 |
| URL | https://proximetricsr.r.packages.buchi-nir.io/ https://github.com/buchi-labortechnik-ag/proximetricsr/ |
| Package repository | View on CRAN |
| Installation |
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