Abstract: Embodiments provide a method for upgrading resources in a system including normalizing a collected dataset, scattering data from the normalized dataset, obtaining a plurality of clusters based on the scattered data, discarding one or more clusters from the plurality of clusters with less than a percentage of a total number of observations, in each cluster, performing clusterwise regression and obtaining linear sub-clusters in a defined number, reducing one or more sub-clusters including applying a refinement procedure, removing one or more sub-clusters that fit to outliers and merging pairs of clusters that fit an equivalent model, updating one or more clusters with the reduced sub-clusters, removing one or more globular clusters, reducing a number of clusters with the refinement procedure, and de-normalizing one or more results.