Spectral Preprocessing and Chemometric Calibration of NIR Sensors R package proximetricsR version 0.6.5 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>. Software Depends: R (>= 4.2.0) Imports: callr, digest (>= 0.6), foreach, mathjaxr (>= 1.0), plotly (>= 4.0), prospectr (>= 0.2.10), quarto, uuid, withr, zip, readxl, jsonlite, Rcpp LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, testthat, covr, doParallel, parallel, pkgload Leonardo Ramirez-Lopez <ramirez-lopez.l@buchi.com> Comprehensive R Archive Network (CRAN) 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>) MIT + file LICENSE (https://CRAN.R-project.org/package=proximetricsR/LICENSE) 2026-07-17 application/tgz https://CRAN.R-project.org/package=proximetricsR doi:10.32614/CRAN.package.proximetricsR