1. A computerized method for processing data comprising a plurality of data sets respectively containing a plurality of different random samples, said method comprising the steps of: for each individual random sample contained in a data set, automatically electronically checking for occurrence of specific characteristics of a dependency of that random sample on an order quantity by comparing, in a predetermined sequence of said data sets, the dependency of that random sample on said order quantity with a dependency on said order quantity of model functions contained in a model matrix, using the general linear model, to obtain an intermediate comparison result; before said checking of each individual random sample, automatically electronically determining whether said model functions in said model matrix exhibit, within a time segment represented by the data set containing the random sample to be checked, a degree of orthogonality sufficient to cause said model matrix to represent a determinable equation system, and masking out, to a predetermined degree, model functions that interfere with said sufficient degree of orthogonality from contributing to the comparison; and storing each intermediate comparison result as it occurs and making the stored intermediate comparison results, and a final result comprising the respective intermediate comparison results for all of said data sets, electronically available.