Use system font stack instead of Google Fonts in vignettes to avoid pandoc SSL issue.
enpls 5.8 (2017-03-24)
Updated gallery images in README.md.
Better code indentation style.
HTTPS enabled for the website.
enpls 5.7 (2017-01-05)
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 argument cvfolds now available in all applicable functions for finer control of cross-validation folds in automatic parameter selection of each PLS/SPLS model.
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 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)
Reduced memory footprints for enpls.fit() and enspls.fit().
New functions enpls.rmse(), enpls.mae(), and enpls.rmsle() for computing RMSE, MAE, and RMSLE.
enpls 4.0 (2016-08-28)
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)
Add sparse partial least squares regression.
Improvements on documentation; rewritten vignette.
enpls 2.0 (2016-06-19)
New project website.
General improvements on plotting functions.
Fixed major bugs in cv.enpls and plotting functions.
Many other bug fixes.
enpls 1.1 (2015-11-26)
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 <email@example.com>.