How to use the spreg.utils.RegressionPropsY function in spreg

#Main GLM classes

__author__ = "Taylor Oshan tayoshan@gmail.com"

import numpy as np
import numpy.linalg as la
from spreg.utils import RegressionPropsY, spdot
import spreg.user_output as USER
from .utils import cache_readonly
from .base import LikelihoodModelResults
from .iwls import iwls
from . import family

__all__ = ['GLM']

class GLM(RegressionPropsY):
    """
    Generalised linear models. Can currently estimate Guassian, Poisson and
    Logisitc regression coefficients. GLM object prepares model input and fit
    method performs estimation which then returns a GLMResults object.

    Parameters
    ----------
        y             : array
                        n*1, dependent variable.
        X             : array
                        n*k, independent variable, exlcuding the constant.
        family        : string
                        Model type: 'Gaussian', 'Poisson', 'Binomial'
        offset        : array
                        n*1, the offset variable at the ith location. For Poisson model
                        this term is often the size of the population at risk or