code: def fit(self, X, y):
      return super().fit(self._reshape_X(X), y=self._reshape_y(y))
  
imports: from sklearn.decomposition import PCA
  from sklearn.linear_model import LinearRegression
  import geomstats.backend
label_desc: Use image node_id 7 for calling the WrappedLinearRegression obj's underlying member method code with example usage: obj.fit(X, y) and returns: super