Abstract: This paper develops a SVR feature selection method （LS-FSM）based on least square-based estimate discrimi- native function. The target function adopted in this method is more suitable for SVR Moreover, by considering that redundant feature is small in spec

Key words: Support vector regression （SVR）, Feature subset selection, Least square method