all&#39;).columns
            col0 = df0.replace(&#39;&#39;, pd.NA).dropna(axis=1, how=&#39;all&#39;).columns
            col = [x for x in col0 if x in col1]
            return df[col]
        else:
            return remove_identical_columns(df_)    
        
def load_veritas_model(filepath):
    &#39;&#39;&#39;
    Load a Veritas model from a specified file.

    Parameters:
    filepath (str): The path to the file containing the saved Veritas model.

    Returns:
    The loaded Veritas model.
    &#39;&