Estimating lagged prediction models from autocorrelated historical data is a common challenge in business and economics. The resulting multicollinearity causes the models to perform poorly. The Almon lag method is a clever way to deal with the multicollinearity. It's available in SAS and Statistica, and would be a valuable addition to XLSTAT.