Hi, I have a matrix of 31 rows and 8 columns. The rows represent attributes of a product and the columns represent segments in a market. The cell values are utilities scaled so that the sum of the utilities across attributes for a segment equals 100. I want to find which attributes are closely related to which segments. I ran a CA on the matrix and got an interesting plot. For example, attributes 4 and 6 are "close" to segment 1 and rows 1 and 2 are "close" to segment 7. Is there any way to calculate a measure of "closeness" from the ca output so that I can develop groups of attributes for each segment? I'd like to be able to have a list of attributes for each segment and a weight on how important (close?) an attribute is for that segment. Any suggestions? Thanks, Walt -- ________________________ Walter R. Paczkowski, Ph.D. Data Analytics Corp. 44 Hamilton Lane Plainsboro, NJ 08536 ________________________ (V) 609-936-8999 (F) 609-936-3733 dataanalytics at earthlink.net www.dataanalyticscorp.com