class_docstr: Results for multivariate linear regression
      
class_docstr_tok: ["Results","for","multivariate","linear","regression"]
code: def conf_int(self, alpha=0.05, cols=None):
      confint = super().conf_int(alpha=alpha, cols=cols)
      return confint.transpose(2, 0, 1)
  
imports: import numpy
  from numpy.linalg import eigvals, inv, solve, matrix_rank, pinv, svd
  from scipy import stats
  import pandas
  from patsy import DesignInfo
  from statsmodels.compat.pandas import Substitution
  from statsmodels.base.model import Model, LikelihoodModelResults
  import statsmodels.base.wrapper
  from statsmodels.regression.linear_model import RegressionResultsWrapper
  from statsmodels.iolib import summary2
  from statsmodels.tools.decorators import cache_readonly
label_desc: Use image node_id 8 for calling the MultivariateLSResults obj's underlying member method code with example usage: obj.conf_int(alpha, cols) and returns: confint