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 reset(self):
      self.A = self._origA.copy()
      self.__calc()
  
file_path: statsmodels/statsmodels/sandbox/pca.py
imports: import numpy
label_desc: Use image node_id 11 for calling the Pca obj's underlying member method code with example usage: obj.reset() without return types