a variant on ordinary
least squares regression designed to remedy problems that arise from
multicollinearity. It involves modifying the
main diagonal of the
correlation matrix before calculating the coefficients, thus eliminating the associations among the
independent variables. A researcher can use the information obtained from this analysis to determine whether certain independent variables should be removed from the final model. Also called
damped regression.