class_docstr: Results for multivariate linear regression
      
class_docstr_tok: ["Results","for","multivariate","linear","regression"]
code: def __init__(
      self,
      model,
      params,
      normalized_cov_params=None,
      scale=1.0,
      **kwargs,
  ):
      super().__init__(
          model,
          params,
          normalized_cov_params=normalized_cov_params,
          scale=scale,
          **kwargs,
      )
  
      self.method = "Least Squares"
  
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 1 to create a new MultivariateLSResults object from inherited base classes: LikelihoodModelResults with example: obj = MultivariateLSResults(model, params, normalized_cov_params, scale)