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I know that Linear Discrimination Analysis (LDA) is used for classification and Multiple Linear Regression (MLR) is for regression. Lets say I have a matrix X (independent variables) and Y(dependent variables) if the Y is continues and I make a regression , it becomes MLR if the Y is categories (like 1111122222) and I do MLR to make a relation , it becomes LDA?

can one explain it in simple words and illustrations ?

Learner
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  • What are MLR and LDA? – Sycorax Feb 27 '15 at 13:11
  • @user777 I edited the question , have a look at above – Learner Feb 27 '15 at 13:13
  • Did you attempt to search this site? This topic was addressed several times here. – ttnphns Feb 27 '15 at 13:17
  • @ttnphns the first thing I always do is to search! , I did search but I could not find a straight answer to this question – Learner Feb 27 '15 at 13:19
  • @D L Dahly that is not the answer of my specific question. There are over million pages in the internet explaining the concept and theory behind each of these techniques. I simply asked how they are different if one performs MLR between categorised y values and X, would it counts as LDA? or not and what is the differences in simple words not blah blah – Learner Feb 27 '15 at 13:26

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