Abstract
While sequence analysis has now become a widespread approach in social sciences, several strategies have been developed to handle the specific issue of multidimensional sequences. These strategies have distinct characteristics, related to the way they explicitly emphasize multidimensionality, interdependence and parsimony. In this context, we introduce an original approach based on structural links between the dimensions, combining Optimal Matching Analysis (OMA), Multidimensional Scaling (MDS), canonical Partial Least Square (PLS) and Clustering. We then apply this method to mother-daughter employment histories in France and discuss the value of this method.