code: def naive_forecaster_model_with_regressor(test_data_longley):
      """Create instance of fitted naive forecaster model."""
      y_train, _, X_train, _ = test_data_longley
      model = NaiveForecaster()
      return model.fit(y_train, X_train, fh=[1, 2, 3])
  
imports: import os
  import sys
  from pathlib import Path
  from unittest import mock
  import numpy
  import pandas
  import pytest
  from sktime.datasets import load_airline, load_arrow_head, load_longley
  from sktime.forecasting.arima import AutoARIMA
  from sktime.forecasting.naive import NaiveForecaster
  from sktime.split import temporal_train_test_split
  from sktime.utils.multiindex import flatten_multiindex
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 9 for calling a global function with example usage: naive_forecaster_model_with_regressor(test_data_longley) and returns: model