In this research a method of using principal components is developed to control a process which has many output characteristics affecting the quality of the final product. The advantage of using principal components lies in the reduction of the number of variables to be control charted, thereby minimizing the combined probability of a type I error. Expressions using multivariate regression analysis are developed to predict the input variables. Numerical examples are given to illustrate the methodology developed.