*   Minor change
**  Major change

2.5-0
	** Added options in plot.cv.ncvreg to plot estimates of r-squared,
	   signal-to-noise ratio, scale parameter, and prediction error in
	   addition to cross-validation error (deviance)
	** Added summary method for cv.ncvreg which displays the above
	   information at lambda.min, the value of lambda minimizing the
	   cross-validation error.
	*  Fixed bug in cv.ncvreg with user-defined lambda values.

2.4-0
	** Fixed error in definition/calculation of cross-validation
	   error and standard error
	** Added penalty.factor option
        *  cv.grpreg: Now returns full data fit as well as CV errors
	*  coef and predict methods now accept lambda as argument
	*  Added logLik method (which in turn allows AIC/BIC)
	*  Fixed bug that arose if lambda was scalar (instead of a vector)
	*  cdfit_ now returns loss (RSS for gaussian, deviance for binomial)
	*  Fixed bug in cv.ncvreg for linear regression -- cross-validation
	   was being carried out deterministically
	   (Thank you to Brenton Kenkel for pointing this out)
	*  Internal change: standardization more efficient
	*  Fixed bug: Intercept for logistic regression was not being
	   calculated for lamda=0

2.3-2
	* Fixed formatting error in citation.
	
2.3-1
	* plot.ncvreg: Made the passing of arguments more flexible, so
	that user can pass options concerning both the plot and the lines.
	* plot.ncvreg: Changed some of the default settings with respect
	to color (hcl instead of hsv) and line width.

2.3
	* cv.ncvreg.Rd: Fixed the documentation, which no longer agreed
	with the function usage.  This was an oversight in the release of
	version 2.2.

2.2
	** cv.ncvreg: Divorced cross-validation from fitting.  From a user
	perspective, this increases flexibility, although obtaining the
	model with CV-chosen regularization parameter now requires two
	calls (to ncvreg and cv.ncvreg).  The functions, however, are
	logically separate and involve entirely separate methods.
	** plot.cv.ncvreg: Developed a plotting method specific to
	cv.ncvreg objects.