code: def __init__(self, model, params, normalized_cov_params, scale=1.0):
      self.data = model.data
      super().__init__(model, params, normalized_cov_params, scale)
  
imports: from __future__ import annotations
  from statsmodels.compat.pandas import is_float_index, is_int_index, is_numeric_dtype
  import numbers
  import warnings
  import numpy
  from pandas import DatetimeIndex, Index, Period, PeriodIndex, RangeIndex, Series, Timestamp, date_range, period_range, to_datetime
  from pandas.tseries.frequencies import to_offset
  from statsmodels.base.data import PandasData
  import statsmodels.base.model
  import statsmodels.base.wrapper
  from statsmodels.tools.sm_exceptions import ValueWarning
label_desc: Use image node_id 1 to create a new TimeSeriesModelResults object from inherited base classes: base with example: obj = TimeSeriesModelResults(model, params, normalized_cov_params, scale)