In the brewing industry, the alcohol content of a beverage is a critical quality parameter that is routinely analyzed.

Data analytics can be used to determine whether new (less expensive and less time consuming) methods of quality analysis are as effective as traditional methods. In one case, using multivariate Orthogonal Partial Least Squares (OPLS) regression models to check alcohol content and color, showed this method was able to obtain prediction errors comparable with those of reference methods.