PCA with Rotation methods

I want to do PCA with options to extract any number of Factors that can then be rotated orthogonally, and have same info about eigenvalues, factor loadings, communalities, etc. as I have in SPSS. I have only found a Node supposedly works with R, but it won’t work because, odd enough, I have no Python installed and cannot access Conda or Miniconda.