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>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: dplyr, ggplot2, grDevices, mdatools, readr, stringr, tidyr, tidyverse
Suggests: testthat (≥ 3.0.0)
Published: 2023-08-09
DOI: 10.32614/
Author: Elia Gonzato [aut, cre, cph]
Maintainer: Elia Gonzato <elia.gonzato at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: windows.pls results


Reference manual: windows.pls.pdf


Package source: windows.pls_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): windows.pls_0.1.0.tgz, r-oldrel (arm64): windows.pls_0.1.0.tgz, r-release (x86_64): windows.pls_0.1.0.tgz, r-oldrel (x86_64): windows.pls_0.1.0.tgz


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