def METHOD_NAME(self,ix=0,iy=1,iz=2,clf=True):
    """
    Generates a 3-dimensional plot of the data set and principle components
    using mayavi.
    ix, iy, and iz specify which of the input p-dimensions to place on each of
    the x,y,z axes, respectively (0-indexed).
    """
    import enthought.mayavi.mlab as M
    if clf:
        M.clf()
    z3=np.zeros(3)
    v=(self.getEigenvectors()*self.getEigenvalues())
    M.quiver3d(z3,z3,z3,v[ix],v[iy],v[iz],scale_factor=5)
    M.points3d(self.N[:,ix],self.N[:,iy],self.N[:,iz],scale_factor=0.3)
    if self.names:
        M.axes(xlabel=self.names[ix]+'/sigma',ylabel=self.names[iy]+'/sigma',zlabel=self.names[iz]+'/sigma')
    else:
        M.axes()