Summary: Many methods of data analysis built data organisations according to a criterion of resemblance measured by different indices. Mostly, these indices are symmetrical. However, in multiple real situations, we need to structure a set of variables or a set of variable classes according to inclusion or inference relations such that: “If
”. Our approach, inspired by the work of I. C. Lerman
, [Classification et analyse ordinale des données. (1981; Zbl 0485.62051
)], give us a direction to get an oriented classification of these variables, figured on a graph. Thus we obtain an oriented classification on different classes of variables represented by a hierarchy. In a next step, we examine the significant nodes of the latter as well as the contribution of subjects-objects considered individually or through a categorisation.