R language uses the principal function of psych package to perform principal component analysis on the specified data set. PCA performs data dimensionality reduction (input as correlation matrix), cus

R Language use psych Bag principal Function to perform principal component analysis on the specified data set PCA Data dimensionality reduction （ The input data is the correlation matrix ）、 Customize principal component rotation parameters rotate、 Use nfactors Parameter specifies the number of extracted principal components 、principal Interpretation of rotation results of function principal components （Rotating principal components）