def interpTRK(targetAge, df):
    ages = df.AGE
    closestGreater = ages[ages > targetAge].min()
    closestLess = ages[ages < targetAge].max()
    row_closest_less = df[df['AGE'] == closestLess]
    row_closest_greater = df[df['AGE'] == closestGreater]
    fraction = (targetAge - closestLess) / (closestGreater - closestLess)
    interpolated_row = row_closest_less.drop(columns=['AGE']).reset_index(drop=True) + \
                   fraction * (row_closest_greater.drop(columns=['AGE']).reset_index(drop=True) - row_closest_less.drop(columns=['AGE']).reset_index(drop=True))

    return interpolated_row