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K-Means on PCA data


I have a data set to predict the sales price for houses. I ran a PCA analysis on the continuous variable without changing or cleaning the data. The analysis suggested that 26 component out of the 31 componnet explained 96% of variability.

So I saved the values of these 26 component. Now I am trying to run a K-Means Analysis by choosing all the 26 saved component and all the remaining categorical variables as X factor and Sales price as Y.

Attached is my result



Is there a way to show R-Square value in this result??

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