Use Canonical Correspondence Analysis (CCA) to analyze a contingency table (typically with sites as rows and species in columns) while taking into account the information provided by a set of explanatory variables contained in a second table and measured on the same sites.
Canonical Correspondence Analysis (CCA) has been developed to allow ecologists to relate the abundance of species to environmental variables (Ter Braak, 1986). However, this method can be used in other domains. Geomarketing and demographic analyses should be able to take advantage of it.
XLSTAT allows to remove the information provided in third table, using Partial CCA. A permutation test is also available to test if the relationship between the contingency table and the explanatory variables is significant or not.