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enpls 6.1 (2019-05-17)

Improvements

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

enpls 6.0 (2018-05-13)

Improvements

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

enpls 5.9 (2017-09-27)

Improvements

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

enpls 5.8 (2017-03-24)

Improvements

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

enpls 5.7 (2017-01-05)

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 (2016-11-25)

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 (2016-10-20)

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 (2016-09-15)

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 (2016-08-28)

Improvements

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

enpls 3.0 (2016-06-22)

New Features

• Add sparse partial least squares regression.

Improvements

• Improvements on documentation; rewritten vignette.

enpls 2.0 (2016-06-19)

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 (2015-11-26)

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 (2014-10-03)

New Features

• initial release

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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