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On 8-Jun-2004, [EMAIL PROTECTED] (=?iso-8859-1?q?juan=20carlos?=) wrote: > I should highly appreciate it if some one could advice > me on how to do with this issue: I have been trying to > categorise a continuous variable which is the total > assets of a 295 company. The problem is that there are > few clusters (of very few firms each) located a way > from the highest percentiles. What I meant is that > there is a huge gap between the very large ones and > few others in the middle of the range the very vast > majority of the sample. This made the categorisation > quite cumbersome. What is the goal of the categorization? Are you trying to predict and explain the categories as a function of other (predictor) variables, or are you just trying to cluster similar values? -- Phil Sherrod (phil.sherrod 'at' sandh.com) http://www.dtreg.com (decision tree modeling) http://www.nlreg.com (nonlinear regression)
