I am given a matrix with products as variables and product functions as cases. For example, if a product x has a function y, it is indicated in the matrix as 1 (so it’s binary).
Now I want to use ALSCAL to have multidimensional scaling. The problem is, that every product function has a specific weight. So the distance between two products generated by PROXIMITIES has to be larger, if they are different in a higher weighted product function compared to a lower weighted product function.
But PROXIMITIES ignores the weighting variable. Do you guys know a solution?
I use the Euclidean distance.