Notice of RetractionRemedy to severe multicollinearity through ridge regression: A study on relationship bwtween TQM practice and performance

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

The effectiveness and accuracy of prediction depends on the extent to which organizations implement certain data collection and processing. Many researchers have developed predicting models of the relationships of TQM practices and operating performance using regression analysis. However, the problem of multicollinearity in its simplest form has been traditionally characterized by a high correlation between two or more independent variables in prediction data set, which might lead to empirically underidentification of the equation. The paper seeks remedy to severe multicollinearity through ridge regression to eliminate its effect on prediction, and tries to find out the relationship between TQM practice and performance.