Changes in version 6.1.1 (2025-07-29)                  

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).

                  Changes in version 6.1 (2019-05-18)                   

Improvements

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

                  Changes in version 6.0 (2018-05-13)                   

Improvements

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

                  Changes in version 5.9 (2017-09-27)                   

Improvements

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

                  Changes in version 5.8 (2017-03-25)                   

Improvements

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

                  Changes in version 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.

                  Changes in version 5.6 (2016-11-26)                   

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.

                  Changes in version 5.0 (2016-10-25)                   

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.

                  Changes in version 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.

                  Changes in version 4.0 (2016-08-29)                   

Improvements

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

                  Changes in version 3.0 (2016-06-29)                   

New Features

  - Add sparse partial least squares regression.

Improvements

  - Improvements on documentation; rewritten vignette.

                         Changes in version 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.

                  Changes in version 1.1 (2015-11-27)                   

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>.

                  Changes in version 1.0 (2014-10-03)                   

New Features

  - initial release