  In this paper, we apply empirical likelihood method to inference for the
regression parameters in the partial functional linear regression models based
on B spline. We prove that the empirical log likelihood ratio for the
regression parameters converges in law to a weighted sum of independent chi
square distributions and run simulations to assess the finite sample
performance of our method.
