function [prdData, info] = predict_Rhodeus_amarus(par, data, auxData)
  
  % unpack par, data, auxData
  cPar = parscomp_st(par); vars_pull(par); 
  vars_pull(cPar);  vars_pull(data);  vars_pull(auxData);

%% compute temperature correction factors
  TC_ab = tempcorr(temp.ab, T_ref, T_A);
  TC_ap = tempcorr(temp.ap, T_ref, T_A);
  TC_am = tempcorr(temp.am, T_ref, T_A);
  TC_Ri = tempcorr(temp.Ri, T_ref, T_A);
  TC_tW = tempcorr(temp.tW, T_ref, T_A);

  % life cycle
  pars_tj = [g k l_T v_Hb v_Hj v_Hp];
  [t_j, t_p, t_b, l_j, l_p, l_b, l_i, rho_j, rho_B, info] = get_tj(pars_tj, f);

  % birth
  L_b = L_m * l_b;                  % cm, structural length at birth of foetus  at f = 1
  Lw_b = L_b/ del_M;                % cm, standard length at birth
  Ww_b = L_b^3 * (1 + f * w);       % g, wet weight at birth
  aT_b = t_b/ k_M/ TC_ab;           % d, age at birth of foetus at f and T

  % metem
  L_j = l_j * L_m;                  % cm, standard length at metam
  tT_j = (t_j - t_b)/ k_M/ TC_ab;   % d, time since birth at metam
  
  % puberty 
  L_p = L_m * l_p;                  % cm, structural length at puberty at f
  Lw_p = L_p/ del_M;                % cm, standard length at puberty at f
  Ww_p = L_p^3 * (1 + f * w);       % g, wet weight at puberty
  aT_p = t_p/ k_M/ TC_ap;           % d, time since birth at puberty at f and T

  % ultimate
  L_i = L_m * l_i;                  % cm, ultimate structural length at f
  Lw_i = L_i/ del_M;                % cm, ultimate standard length at f
  Ww_i = L_i^3 * (1 + f * w);       % g, ultimate wet weight 

  % reproduction
  pars_R = [kap; kap_R; g; k_J; k_M; L_T; v; U_Hb; U_Hj; U_Hp]; % compose parameter vector
  RT_i = TC_Ri * reprod_rate_j(4 * del_M, f, pars_R);           % ultimate reproduction rate

  % life span
  pars_tm = [g; l_T; h_a/ k_M^2; s_G];  % compose parameter vector at T_ref
  t_m = get_tm_s(pars_tm, f, l_b);      % -, scaled mean life span at T_ref
  aT_m = t_m/ k_M/ TC_am;               % d, mean life span at T

  % pack to output
  prdData.ab = aT_b;
  prdData.ap = aT_p;
  prdData.am = aT_m;
  prdData.Lb = Lw_b;
  prdData.Lp = Lw_p;
  prdData.Li = Lw_i;
  prdData.Wwb = Ww_b;
  prdData.Wwp = Ww_p;
  prdData.Wwi = Ww_i;
  prdData.Ri = RT_i;

    % time-length 
  % females
  kT_M = k_M * TC_tW; rT_B = rho_B * kT_M; rT_j = rho_j * kT_M; 
  L = L_b * exp(tW(:,1) * rT_j/ 3) .* (tW(:,1) < tT_j);
  L = L + (tW(:,1) >= tT_j) .* (L_i - (L_i - L_j) * exp( - rT_B * (tW(:,1) - tT_j))); % cm, expected length at time
  EWw = L.^3 * (1 + f * w); % g, wet weight
  
  EWw_L = (LW(:,1) * del_M).^3 * (1 + f * w); % g, wet weight

  % univariate data
  prdData.tW = EWw;
  prdData.LW = EWw_L;
end