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It seems I posted this question to the wrong section (Getting Started - Statistical gudes) 2 days ago so I am re-posting it here.Hello, I am trying to run discriminant analysis for my data. I have 2 qualitative dependent variables (96 observations in one and 97 in the other) and I have 38 quantitative explanatory variables, with values for each of the 193 dependent variables. I was expecting to see the individual dots (observations) spread inside two different circles but I get only one factor and all observations are across (i.e. on the first component) the F1 (left and right). What does this mean for the data that I have and how can I interpret it? I also chose automatic weight correction but nothing changes. thank you in advanceEigenvalues: F1Eigenvalue 0.489Discrimination (%) 100.000Cumulative % 100.000
This means that the new space contains only one dimension (factor). Different reasons may explain such results. Can you please send us your file at email@example.com so that we can see what your data look like?
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