def pca(points):
return np.linalg.eig(np.cov(points.transpose()))<EOL>
Estimate the principal components of the covariance on the given point cloud

Input
    A numpy array of points of the form ((x1,y1,z1), (x2, y2, z2)...)

Ouptut
    Eigenvalues and respective eigenvectors