I have a question in principal Component Analysis.
I have calculated the importance of components. Then I derived proportion of variance for each Comp. I am wondering any rule of thumb for dimension reduction?
Is there any rule or threshold for that "Comp.1 and 2 are enough to represent Y, the rest can be left out"?