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Penalized Partial Least Squares

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>.

Versions across snapshots

VersionRepositoryFileSize
2.0.0 rolling linux/jammy R-4.5 ppls_2.0.0.tar.gz 350.8 KiB
2.0.0 rolling linux/noble R-4.5 ppls_2.0.0.tar.gz 350.7 KiB
2.0.0 rolling source/ R- ppls_2.0.0.tar.gz 286.9 KiB
2.0.0 latest linux/jammy R-4.5 ppls_2.0.0.tar.gz 350.8 KiB
2.0.0 latest linux/noble R-4.5 ppls_2.0.0.tar.gz 350.7 KiB
2.0.0 latest source/ R- ppls_2.0.0.tar.gz 286.9 KiB
2.0.0 2026-04-26 source/ R- ppls_2.0.0.tar.gz 286.9 KiB
2.0.0 2026-04-23 source/ R- ppls_2.0.0.tar.gz 286.9 KiB
2.0.0 2026-04-09 windows/windows R-4.5 ppls_2.0.0.zip 353.1 KiB

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