function [prdData, info] = predict_Xiphias_gladius(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_tLW = tempcorr(temp.tL_fW, T_ref, T_A);
  TC_tLE = tempcorr(temp.tL_fE, T_ref, T_A);
  
  % zero-variate data

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

  % puberty 
  L_p = L_m * l_p;                  % cm, structural length at puberty at f
  Lw_p = L_p/ del_M;                % cm, LJFL 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, age 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 LJFL 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 at T
  RT_i = TC_Ri * reprod_rate_j(L_i, f, pars_R);             % #/d, ultimate reproduction rate at T

  % 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
  
  % males
  p_Am_m = z_m * p_M/ kap;             % J/d.cm^2, {p_Am} spec assimilation flux
  E_m_m = p_Am_m/ v;                   % J/cm^3, reserve capacity [E_m]
  g_m = E_G/ (kap* E_m_m);             % -, energy investment ratio
  m_Em_m = y_E_V * E_m_m/ E_G;         % mol/mol, reserve capacity 
  w_m = m_Em_m * w_E/ w_V;             % -, contribution of reserve to weight
  L_mm = v/ k_M/ g_m;                  % cm, max struct length
  pars_tjm = [g_m 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] = get_tj(pars_tjm, f);
  L_pm = L_mm * l_p;                   % cm, LJFL at puberty
  Ww_pm = L_pm.^3 * (1 + f * w_m);     % g, wet weight at puberty

  % 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.Wwpm = Ww_pm;
  prdData.Wwi = Ww_i;
  prdData.Ri = RT_i;
  
  % uni-variate data
  
  % time-length West Indian
  % female
  [tvel, t_j, t_p, t_b, l_j, l_p, l_b] = get_tj(pars_tj, f_tLW, [], tL_fW(:,1)*k_M*TC_tLW);
  ELw_fW = L_m * tvel(:,4)/ del_M;   % cm, length
  % male
  tvel = get_tj(pars_tjm, f_tLW, [t_b, f_tLW*z/z_m, l_b*z/z_m], tL_mW(:,1)*k_M*TC_tLW);
  ELw_mW = L_mm * tvel(:,4)/ del_M;   % cm, length

  % time-length East Indian
  % female
  [tvel, t_j, t_p, t_b, l_j, l_p, l_b] = get_tj(pars_tj, f_tLE, [], tL_fE(:,1)*k_M*TC_tLE);
  ELw_fE = L_m * tvel(:,4)/ del_M;   % cm, length
  % male
  tvel = get_tj(pars_tjm, f_tLE, [t_b, f_tLE*z/z_m, l_b*z/z_m], tL_mE(:,1)*k_M*TC_tLE);
  ELw_mE = L_mm * tvel(:,4)/ del_M;   % cm, length
  
  % length-weight
  EWw = (LW(:,1) * del_M).^3 * (1 + f * w); % g, wet weight

  % pack to output
  prdData.tL_fW = ELw_fW;
  prdData.tL_mW = ELw_mW;
  prdData.tL_fE = ELw_fE;
  prdData.tL_mE = ELw_mE;
  prdData.LW = EWw;