class_docstr: A basic class for Principal Component Analysis (PCA).
  
  p is the number of dimensions, while N is the number of data points
docstr: "energies" are just normalized eigenvectors
docstr_tok: ["``","energies","''","are","just","normalized","eigenvectors"]
code: def getEnergies(self):
      """
      "energies" are just normalized eigenvectors
      """
      v = self.getEigenvalues()
      return v / np.sum(v)
  
file_path: statsmodels/statsmodels/sandbox/pca.py
imports: import numpy
label_desc: Use image node_id 7 for calling the Pca obj's underlying member method code with example usage: obj.getEnergies() and returns: unknown