text: """Heart Transplant Data, Miller 1976"""
  
  __docformat__ = 'restructuredtext'
  
  COPYRIGHT   = """???"""
  
  TITLE       = """Transplant Survival Data"""
  
  SOURCE      = """ Miller, R. (1976). Least squares regression with censored dara. Biometrica, 63 (3). 449-464.
  
  """
  
  DESCRSHORT  = """Survival times after receiving a heart transplant"""
  
  DESCRLONG   = """This data contains the survival time after receiving a heart transplant, the age of the patient and whether or not the survival time was censored.
  """
  
  NOTE = """::
  
      Number of Observations - 69
  
      Number of Variables - 3
  
      Variable name definitions::
          death - Days after surgery until death
          age - age at the time of surgery
          censored - indicates if an observation is censored.  1 is uncensored
  """
  
  import numpy as np
  from statsmodels.datasets import utils as du
  from os.path import dirname, abspath
  
  def load():
      """
      Load the data and return a Dataset class instance.
  
      Returns
      -------
      Dataset instance:
          See DATASET_PROPOSAL.txt for more information.
      """
      data = _get_data()
      ##### SET THE INDICES #####
      #NOTE: None for exog_idx is the complement of endog_idx
      dset = du.process_recarray(data, endog_idx=0, exog_idx=None, dtype=float)
      dset.censors = dset.exog[:,0]
      dset.exog = dset.exog[:,1]
      return dset
  
  def load_pandas():
      data = _get_data()
      ##### SET THE INDICES #####
      #NOTE: None for exog_idx is the complement of endog_idx
      return du.process_recarray_pandas(data, endog_idx=0, exog_idx=None,
                                        dtype=float)
  
  def _get_data():
      filepath = dirname(abspath(__file__))
      ##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
      with open(filepath + '/heart.csv', 'rb') as f:
          data = np.recfromtxt(f, delimiter=",", names = True, dtype=float)
          return data
  