Changes in version 0.3.3 (2024-03-13)                  

    o   Added functionality for cross-validation with grouped observations.

    o   Bugfix in print() method for class "cvFolds": no longer produces warning.

    o   Removed some examples to cut down example check times.  The respective 
	full examples from the previous versions are available in folder 
	/inst/doc/examples-full as R scripts.

                 Changes in version 0.3.2 (2012-05-14)                  

    o   Bugfix in cvTool(): matrix of estimated prediction errors is now returned 
	correctly for more than one replication (this bug was introduced in the 
	bugfix for one replication from version 0.3.1).

    o   Added tests for cvTool(), cvFit() and cvTuning() using package 'testthat'.

                 Changes in version 0.3.1 (2012-05-11)                  

    o   Bugfix in cvTool(): matrix of estimated prediction errors is now returned 
	correctly for one replication.

    o   Bugfix in cvTuning(): "function" method now correctly stores matched call.

                 Changes in version 0.3.0 (2012-03-05)                  

    o   Changed some argument and component names regarding standard errors.

                 Changes in version 0.2.0 (2012-02-13)                  

    o   New generic function repCV() for (repeated) K-fold cross-validation.  The 
	example functions cvLm(), cvLmrob() and cvLts() are now aliases for the 
	respective methods.

    o   Bugfix in cvFit(): default names are retained if cvTool() returns a 
	1x1 matrix.

    o   Bugfix in plot.cvSelect(): default handling of argument 'method' no 
	longer throws error in case of only one replication.

    o   Added functionality to incorporate standard errors.

    o   cvSelect() and cvTuning() now allow to specify criterion for selecting 
	the best model via the argument 'selectBest'.

    o   New xyplot() and dotplot() methods for class "cv".

                 Changes in version 0.1.1 (2011-12-07)                  

    o   Added different types of obtaining CV folds.