def find_lpc_tls(D, d):
    m = D.shape[1]  # the order of the prediction
    E = np.append(D, d, axis=1)     # form the augmented data matrix
    U, s, Vh = scipy.linalg.svd(E)  # SVD decompositon of augmented matrix
    V = np.conj(Vh.T)               # Hermetian transpose
    return (-1. / V[m, m] * V[:m, m]).reshape((m, 1))
Return a |PlaceholderGraphicFrame| object containing a new chart of
dataset/ETHPy150Open jjhelmus/nmrglue/nmrglue/process/proc_lp.py/find_lpc_tls--crossover with--dataset/ETHPy150Open scanny/python-pptx/pptx/shapes/placeholder.py/ChartPlaceholder.insert_chart