enpls 6.1.1

Improvements

• Use GitHub Actions workflow to build pkgdown website (#2).
• Fix R CMD check notes for r-devel on the invalid file URIs in README.md (#2).

enpls 6.1

Improvements

• Switched to the tidyverse code style.
• Updated the vignette style.
• Updated GitHub repository links due to the handle change.

enpls 6.0

Improvements

• New URL for the documentation website: https://nanx.me/enpls/.

enpls 5.9

Improvements

• Use system font stack instead of Google Fonts in vignettes to avoid pandoc SSL issue.

enpls 5.8

Improvements

• Updated gallery images in README.md.
• Better code indentation style.
• HTTPS enabled for the website.

enpls 5.7

Improvements

• New documentation website generated by pkgdown, with a full set of function documentation and vignettes available.
• Added Windows continuous integration support using AppVeyor.

enpls 5.6

New Features

• New argument cvfolds now available in all applicable functions for finer control of cross-validation folds in automatic parameter selection of each PLS/SPLS model.

Improvements

• Critical implementation improvements for processing the case where argument maxcomp = NULL (maximum number of components not specified explicitly) in enpls. functions. Now it should correctly determine the maximum number of components to use, considering both cross-validation and special cases such as n < p. Thanks to Dr. You-Wu Lin for the feedback.

enpls 5.0

New Features

• New functions enpls.ad() and enspls.ad() for PLS and sparse PLS model applicability domain evaluation.
• New plot functions plot.enpls.ad() and plot.enpls.ad() for exploring model applicability domain evaluation results with traditional static plot support and interactive plot support.
• New argument alpha available for setting transparency level (to reduce overplotting) in plot.cv.enpls, plot.enpls.od, plot.cv.enspls, and plot.enspls.od.

enpls 4.5

Improvements

• Reduced memory footprints for enpls.fit() and enspls.fit().

New Features

• New functions enpls.rmse(), enpls.mae(), and enpls.rmsle() for computing RMSE, MAE, and RMSLE.

enpls 4.0

Improvements

• General improvements on function documentation.
• Changing the argument name MCtimes to reptimes.
• Changing the option name "bootstrap" to "boot".

enpls 3.0

New Features

• Add sparse partial least squares regression.

Improvements

• Improvements on documentation; rewritten vignette.

enpls 2.0

New Features

• New project website.

Improvements

• General improvements on plotting functions.

Bug Fixes

• Fixed major bugs in cv.enpls and plotting functions.
• Many other bug fixes.

enpls 1.1

Bug Fixes

• Fixed the bugs in automatic component number selection which could make the intercept-only model rank best. Thanks for the test and patch from Max Kuhn <max.kuhn@pfizer.com>.

enpls 1.0

New Features

• initial release