A form of multidimensional scaling applicable to data consisting of a number of proximity matrices from different sources, i.e. different subjects. The method allows for individual differences in the perception of the stimuli by deriving weights for each subject that can be used to stretch or shrink the dimensions of the recovered geometrical solution.