ppls

Penalized Partial Least Squares

v2.0.0 · Jul 22, 2025 · GPL (>= 2)

Description

Linear and nonlinear regression methods based on Partial Least Squares and Penalization Techniques. Model parameters are selected via cross-validation, and confidence intervals ans tests for the regression coefficients can be conducted via jackknifing. The method is described and applied to simulated and experimental data in Kraemer et al. (2008) <doi:10.1016/j.chemolab.2008.06.009>.

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14 OK

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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	33.6s
r-devel-linux-x86_64-debian-gcc	OK	26s
r-devel-linux-x86_64-fedora-clang	OK	47.8s
r-devel-linux-x86_64-fedora-gcc	OK	49.3s
r-devel-macos-arm64	OK	12s
r-devel-windows-x86_64	OK	58s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	37s
r-oldrel-windows-x86_64	OK	64s
r-patched-linux-x86_64	OK	31s
r-release-linux-x86_64	OK	28.6s
r-release-macos-arm64	OK
r-release-macos-x86_64	OK	35s
r-release-windows-x86_64	OK	53s

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Version History

new 2.0.0 Mar 10, 2026

updated 2.0.0 ← 1.6-1.1 diff Jul 21, 2025

updated 1.6-1.1 ← 1.6-1 diff Jul 19, 2018

updated 1.6-1 ← 1.6-0 diff Sep 3, 2014

updated 1.6-0 ← 1.5.1 diff Aug 19, 2013

updated 1.5.1 ← 1.05 diff Jul 23, 2013

updated 1.05 ← 1.04 diff Oct 28, 2012

updated 1.04 ← 1.03 diff Nov 11, 2009

updated 1.03 ← 1.02 diff Jan 23, 2009

updated 1.02 ← 1.01 diff Jul 7, 2008

updated 1.01 ← 1.0 diff Apr 14, 2008

new 1.0 Oct 6, 2007