Correspondence Factor Analysis is a multivariate technique that may be applied to any type of data. The principal advantage
of this method is related to its simultaneous representation of subjects and variables on the same factorial axis. Two dimensional
graphs may be drawn and offer a strong aid in the interpretation of the results. In our case subjects are “analytical methods
or laboratories” and variables are “determined elements”.