A multivariate time series procedure of modeling closed-loop systems from operating data is outlined and illustrated by real life data from a paper-making process. The procedure does not require a priori knowledge, sample correlations or spectra for guessing the model form. The paper also illustrates a simple method of obtaining the minimum mean squared error control equation and ascertaining the performance of the existing control strategy.