Traditional Chinese Medicine(TCM)study typically has both continuous and categorical covariates,especially for the clinical TCM symptoms identification and risk prediction in variable selection models.Previous research has shown that it is important to penalize dummy variables group-wisely rather than individually,because each group of dummy variables is generated by the same categorical covariate.