  Multidimensional fitting (MDF) method is a multivariate data analysis method
recently developed and based on the fitting of distances. Two matrices are
available: one contains the coordinates of the points and the second contains
the distances between the same points. The idea of MDF is to modify the
coordinates through modification vectors in order to fit the new distances
calculated on the modified coordinates to the given distances. In the previous
works, the modification vectors are taken as deterministic variables, so here
we want to take into account the random effects that can be produce during the
modification. An application in the sensometric domain is also given.
