def METHOD_NAME(self):
    # got values from before the switch from crossCorrelation to autoCorrelation
    inputData = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1 ]
    coeffs = [ 1.          , -1.7860189676,  0.7943785787, -0.0000018278,
               0.0000157348, -0.0000236177,  0.0000142327,  0.0000024615,
              -0.0000063489,  0.1693837941, -0.1610202342]
    reflection = [ 0.9850746393, -0.8639101982, -0.0128436843,  0.0014869192,
                   0.0185417943,  0.0385499857,  0.061892774 ,  0.0891031325,
                   0.1213476434,  0.1610202342]
    c, r = LPC(order=10)(inputData)
    # we need to test the absolute value here, not the relative one (well,
    # actually it needs to be relative to the first coeff, which is 1...)
    self.assertAlmostEqualVector(c-array(coeffs), zeros(11), 1e-3)
    self.assertAlmostEqualVector(r-array(reflection), zeros(10), 1e-3)