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/CRAN.package.windows.pls Author: Elia Gonzato [aut, cre, cph] Maintainer: Elia Gonzato <elia.gonzato at outlook.it> BugReports: https://github.com/egonzato/windows.pls/issues License: MIT + file LICENSE URL: https://github.com/egonzato/windows.pls NeedsCompilation: no Materials: README CRAN checks: windows.pls results Documentation: Reference manual: windows.pls.pdf Downloads: Package source: windows.pls_0.1.0.tar.gz Windows binaries: r-devel: windows.pls_0.1.0.zip, r-release: windows.pls_0.1.0.zip, r-oldrel: windows.pls_0.1.0.zip 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=windows.pls to link to this page.
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