title: Retail CDT (Category Decision Tree) in R
body: <p>I am trying to analyze a big data of many retail store transaction, within a particular category.
  My goal is to build a market structure tree, than will be based on shopper choices - what is the most/least important attribute (attaching a photo for example).</p>
  <p>What is the right way to do it in r?
  I thought about choice modeling using mlogit, but I can't understand how to decide the ranking of the attributes.<a href="https://i.stack.imgur.com/CEmGV.png" rel="nofollow noreferrer">Pet treat category tree</a></p>