1. A method comprising: receiving, using a processor of a computer, a subset of (k−1)-dimensional tables, wherein k is greater than 1, wherein the subset of (k−1)-dimensional tables are selected based on goodness of fit values exceeding a first threshold, wherein the goodness of fit values are statistics that evaluate model capability to describe data; creating a set of k-dimensional tables by combining each of the (k−1)-dimensional tables with a non-included dimension corresponding to a 1-dimensional table; outputting a subset of the k-dimensional tables selected from the created set of k-dimensional tables for use in creating (k+1)-dimensional tables, wherein the subset of the k-dimensional tables are selected based on goodness of fit values exceeding a second threshold, and wherein the created k-dimensional tables are sorted according to the goodness of fit values; and computing significance of interaction and interaction effect size for the created set of k-dimensional tables to determine dimension and measure interactions.