Does the same method for conducting a parallel analysis for principal component analyses apply to find the cut-off point for multidimensional scaling?

Under the pretense that PCA and linear MDS are the same analysis, differing by measuring correlation and distance, I would assume one could find the optimal number of factors/dimensions in similar ways.

However, I cannot find any sources that support or deny this method. Does anyone have info or sources on it?



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