1. A method of analyzing a model for Model Predictive Control, the method comprising the steps of: a) obtaining a model gain matrix of a subject model used for Model Predictive Control of a given process; b) identifying any near-collinear sub-matrices of the obtained model gain matrix; c) adjusting the collinearity of any identified sub-matrixes; and d) optimizing adjusted sub-matrixes to form a new model gain matrix for the subject model.