How to extract calculated variable values from real-time optimization when using fmincon in simulink

The codes and statement typed below, i.e. before 'My Question' has been posted before. See below my 'My Question' for description of the problem

Let's see inside the regressor:

function [m, q] = regressor(xs, ys, mic, qic)
  coder.extrinsic('opt_problem'); % <- Informing the Coder
  m = 0;
  q = 0;
  [m, q] = opt_problem(xs, ys, mic, qic); % <- Optimal problem wrapper call
end

this function is only a wrapper for an external function `opt_problem`. Let'see it (it has two functions inside):

function [m, q] = opt_problem(xs, ys, mic, qic)
  fmincon_target = @(mq)(target(mq, xs, ys));
  mq = fmincon(fmincon_target, [mic; qic], [], [], [], [], [0; 0], [1; 1]);
  m = mq(1);
  q = mq(2);
end
function r = target(mq, xs, ys)
  r = norm(ys - xs.*mq(1) - mq(2));
end

My Question

The problem above works fine, however I intend to extracted calculated value from the function 'target' in the 'opt_problem' function file. Therefore, lets say I rewrite the codes as follows:

function [m, q] = opt_problem(xs, ys, mic, qic)
  fmincon_target = @(mq)(target(mq, xs, ys));
  mq = fmincon(fmincon_target, [mic; qic], [], [], [], [], [0; 0], [1; 1]);
  m = mq(1);
  q = mq(2);
end
function r = target(mq, xs, ys)
  Z = xs.*mq(1);
  U = ys- mq(2);
  r = norm(U-Z));
end

Then how do I extract the calculated Z and U so that they are also given as output of the 'regressor' block. Note, that in my problem the computation of Z and U is quite lenghten and it would be inefficient to calculate Z and U using the computed values of mq(1) and mq(2) in another block. Other alternative extraction are also welcomed.