code: def test_columnselect_as_first_step_in_transformedtargetforecaster():
      y = load_longley()[1][["GNP", "UNEMP"]]
      fc = ColumnSelect(["GNP"]) * NaiveForecaster()
      fc.fit(y)
      fc.predict(fh=[1])
  
file_path: sktime/sktime/transformations/series/tests/test_subset.py
imports: import pandas
  import pytest
  from sktime.datasets import load_airline, load_longley
  from sktime.forecasting.naive import NaiveForecaster
  from sktime.transformations.series.subset import ColumnSelect, IndexSubset
label_desc: Use image node_id 4 for calling a global function with example usage: test_columnselect_as_first_step_in_transformedtargetforecaster() without return types