Package: proximetricsR Type: Package Title: Spectral Preprocessing and Chemometric Calibration of NIR Sensors Version: 0.6.4 Date: 2026-06-22 Authors@R: c( person(given = "Leonardo", family = "Ramirez-Lopez", role = c("aut", "cre"), email = "ramirez-lopez.l@buchi.com", comment = c(ORCID = "0000-0002-5369-5120")), person(given = "Claudio", family = "Orellano", role = "aut", comment = c(ORCID = "0009-0005-7523-4236")), person(given = "Nicolae", family = "Cudlenco", role = "aut", comment = c(ORCID = "0000-0001-6547-3659")), person(given = "Mai", family = "Said", role = "aut", comment = c(ORCID = "0000-0001-6979-8725")), person(given = "Mohamed", family = "Abushosha", role = "aut"), person(given = "Marcal", family = "Plans", role = "aut", comment = c(ORCID = "0000-0001-9894-2626")) ) Maintainer: Leonardo Ramirez-Lopez BugReports: https://github.com/l-ramirez-lopez/proximetricsr/issues Description: 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) and modified partial least squares regression as described by Shenk and Westerhaus (1991) , with further discussion by Westerhaus (2014) . License: MIT + file LICENSE URL: https://github.com/l-ramirez-lopez/proximetricsr VignetteBuilder: quarto 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 Suggests: knitr, testthat, covr, doParallel, parallel, devtools LinkingTo: Rcpp, RcppArmadillo RdMacros: mathjaxr NeedsCompilation: yes LazyData: true LazyDataCompression: xz Encoding: UTF-8 Config/testthat/edition: 3 Config/VersionName: Saentis Config/roxygen2/version: 8.0.0 Config/roxygen2/markdown: TRUE Packaged: 2026-07-01 07:35:06 UTC; root Author: Leonardo Ramirez-Lopez [aut, cre] (ORCID: ), Claudio Orellano [aut] (ORCID: ), Nicolae Cudlenco [aut] (ORCID: ), Mai Said [aut] (ORCID: ), Mohamed Abushosha [aut], Marcal Plans [aut] (ORCID: ) Repository: https://cran.r-universe.dev Date/Publication: 2026-06-30 20:30:07 UTC RemoteUrl: https://github.com/cran/proximetricsR RemoteRef: HEAD RemoteSha: cd19c48df56a20f5c9074e4ce708e914c841d0f5