search for: 2____2__3___1__1___1

...looks if there is a ind var that is identiacal with the dep var (among a lot of respondents) in this case he would choose i1 since it is approx. identical to the dep var (expect of the first respondent) so in the result he gives me this clustering: dep__i1__i2__i3__i4__cl 3____2__1___5__2___2 2____2__3___1__1___1 5____5__3___4__4___11____1__2___1__2___1 when i run a linear reg for cluster one - explaining dep on i1-i4 he uses almost only i1 for explaining dep with 100% explained variance but often the model is insignificant and it is not a kind of cluster i am looking for) this is my code: library(fpc...