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proximetricsR  

Spectral Preprocessing and Chemometric Calibration of NIR Sensors
View on CRAN: Click here


Download and install proximetricsR package within the R console
Install from CRAN:
install.packages("proximetricsR")

Install from Github:
library("remotes")
install_github("cran/proximetricsR")

Install by package version:
library("remotes")
install_version("proximetricsR", "0.7.1")



Attach the package and use:
library("proximetricsR")
Maintained by
Leonardo Ramirez-Lopez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-30
Latest Update: 2026-06-30
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) <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>.
How to cite:
Leonardo Ramirez-Lopez (2026). proximetricsR: Spectral Preprocessing and Chemometric Calibration of NIR Sensors. R package version 0.7.1, https://cran.r-project.org/web/packages/proximetricsR. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-09-04 14:01), 0.6.4 (2026-06-30 22:30), 0.6.5 (2026-07-18 01:10), 0.7.0 (2026-08-04 16:10)
Other packages that cited proximetricsR R package
View proximetricsR citation profile
Other R packages that proximetricsR depends, imports, suggests or enhances
Complete documentation for proximetricsR
Functions, R codes and Examples using the proximetricsR R package
Full proximetricsR package functions and examples
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