I have the following dilemma:
We know that for random vectors we have Pearson's coefficient of skewness. I think you all agree that in some sense it measures the shape properties of the distribution.
Now let's generalize this: we have a set of vectors (dependent or independent). Could we generalize the Pearson's R in a way to determine some properties of the embedded manifold such as shape and dimension?