class_docstr: A basic class for Principal Component Analysis (PCA).
  
  p is the number of dimensions, while N is the number of data points
code: def getEigenvectors(self):
      return self.getEigensystem()[1]
  
file_path: statsmodels/statsmodels/sandbox/pca.py
imports: import numpy
label_desc: Use image node_id 6 for calling the Pca obj's underlying member method code with example usage: obj.getEigenvectors() and returns: self