Robust fit for vectors of different lengths

Hi I have x = train_vcts_ASD (13456)(13456x201) and Y = train_behav (190)(190x1). I am having errors making a robust regression due to length size, how can I fix this for this section of my code?

if for edge_i = 1: edge_no_ASD;
      [~, stats] = robustfit(train_vcts_ASD(edge_i,:)', train_behav_ASD);
      cur_t = stats.t(2);
      r_mat_ASD(edge_i) = sign(cur_t)*sqrt(cur_t^2/(no_sub_ASD-1-2+cur_t^2));
      p_mat_ASD(edge_i) = 2*(1-tcdf(abs(cur_t), no_sub_ASD-1-2));  %two tailed
  end