Abstract
This paper introduces an alternative variable selection method for use in regression analysis that is based on the Tabu search procedure. The Tabu search was compared to traditional regression analysis procedures using various size data sets. The results indicate the superiority of the Tabu search procedure for model selection in multiple regression analysis.