The new HPQUANTSELECT procedure performs high-performance quantile regression analysis. PROC HPQUANTSELECT not only fits quantile regression models but also offers extensive capabilities for quantile regression model selection, and it supports statistical inferences with or without the assumption of independently and identically distributed (iid) errors.