Changes in version 1.4 (2017-02-16)                   

    o   new function "hqreg_raw" for fitting models on raw data without preprocessing

    o   hqreg_raw contains a boolean argument "intercept" which can be set to FALSE to allow a "no-intercept" fit

    o   hqreg: no longer support preprocess = "none" since the package now has a specific function hqreg_raw for that situation

    o   modified plot, predict function accordingly for the situation without an intercept

    o   cv.hqreg: added a new argument FUN that take values from either "hqreg" or "hqreg_raw" to include cross validation
	functionality for hqreg_raw

    o   robustified the optimization algorithm for extreme cases in quantile regression when tau is close to 0 or 1

                  Changes in version 1.3 (2016-05-23)                   

    o   cv.hqreg: enabled parallel computing for cross-validation with a new argument "ncores"

    o   hqreg: set the default value of "gamma" for Huber loss to be IQR(y)/10

    o   plot.hqreg, plot.cv.hqreg: changed argument "log.x" to "log.l"

    o   removed computational redundancy and reduced memory allocation in source code

    o   corrected typos in documentation

                  Changes in version 1.2 (2016-02-17)                   

    o   cv.hqreg: added two new arguments, "fold.id" for predefined cross-validation 
	folds, and "type.measure" for inclusion of general error measures "mse" and 
	"mae".

    o   loss.hqreg: modified definition depending on "type.measure".

                  Changes in version 1.1 (2016-02-02)                   

    o   loss.hqreg.R: corrected a mistake in function "qloss".

                  Changes in version 1.0 (2015-09-11)                   

    o   Added support for L2 penalization(alpha=0);

    o   hqreg: changed argument "loss" to "method" and an option "squared" to "ls".