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The multicollinearity in multiple linear regression models and the existence of leverage data points are common problems. These problems exert undesirable effects on the least squares estimators. So, it would seem important to combine methods of estimation designed to deal with these problems simultaneously. In this paper, alternative biased robust regression estimator is defined by mixing the ridge estimation technique into the robust least trimmed squares estimation to obtain the Ridge Leastdoi:10.12988/ijcms.2018.8616 fatcat:yvgp4lqzgbdwnmu7epnrvex6yi