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I have an analysis with 3 Categorical/qualitative explanatory variables (with maximum 20 categories and a numerical dependent variable. Do i need to create dummy variables before I run the linear regression in XLSTAT? Does it do this for me as part of the programme?Thanks
You can run an ANCOVA analysis in this case. No need to transform your variables. Here is an example:
In the chart of PLS-DA (observations), validation and prediction samples (based on the iris demo data) gives a not correctly representation of the prediction and validated samples compared to the training set and to the results of the confusion matrix.I'm expected that when correctly classify validation and prediction samples belong in the corrected classes. This is not verify. Have you suggestions on how to interpret this chart?Thank you in advance
Could you please send us at email@example.com your XLSTAT output file so that we can have a look at your chart?
Thank you in advance.
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