A Non Symmetrical Generalised Co-Structure Analysis for Inspecting Quality Control Data

The paper provides a contribution to factorial methods in multidimensional data analysis covering the gap of graphical representations of statistical units on which a multiple set of response variables as well as a common set of explanatory variables are observed. By joining the features of multiple Co-Inertia analysis with those of a geometrical non-symmetrical approach, the proposed technique gains remarkable advantages in identifying a typology of statistical units generated by the mentioned dependence structure.