class_docstr: Empirical Likelihood inference and estimation for linear regression
  through the origin.
  
  Parameters
  ----------
  endog: nx1 array
      Array of response variables.
  
  exog: nxk array
      Array of exogenous variables.  Assumes no array of ones
  
  Attributes
  ----------
  endog : nx1 array
      Array of response variables
  
  exog : nxk array
      Array of exogenous variables.  Assumes no array of ones.
  
  nobs : float
      Number of observations.
  
  nvar : float
      Number of exogenous regressors.
code: def predict(self, params, exog=None):
      if exog is None:
          exog = self.exog
      return np.dot(add_constant(exog, prepend=True), params)
  
file_path: statsmodels/statsmodels/emplike/originregress.py
imports: import numpy
  from scipy import optimize
  from scipy.stats import chi2
  from statsmodels.regression.linear_model import OLS, RegressionResults
  from statsmodels.tools.tools import add_constant
label_desc: Use image node_id 3 for calling the ELOriginRegress obj's underlying member method code with example usage: obj.predict(params, exog) and returns: np