function [prdData, info] = predict_Lateolabrax_japonicus(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 = tempcorr(temp.am, T_ref, T_A); kT_M = TC * k_M;
 
  % zero-variate data

  % life cycle
  pars_tj = [g; k; l_T; v_Hb; v_Hj; v_Hp]; % compose parameter vector
  [tau_j, tau_p, tau_b, l_j, l_p, l_b, l_i, info] = get_tj(pars_tj, f);
  
  % birth
  L_b = l_b * L_m;                  % cm, structural length at birth
  Ww_b = L_b^3 * (1 + f * w);       % g, wet weight at birth
  aT_b = tau_b/ k_M/ TC_ab;         % d, ae at birth

  % puberty 
  L_p = L_m * l_p;                  % cm, structural length at puberty at f
  Lw_p = L_p/ del_M;                % cm, physical length at puberty at f

  % ultimate
  L_i = L_m * l_i;                  % cm, ultimate structural length at f
  Lw_i = L_i/ del_M;                % cm, ultimate physical length at f
 
  % 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 * reprod_rate_j(L_i, f, pars_R);          % #/d, max 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;               % 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 
  ome_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];

  % pack to output
  prdData.ab = aT_b;
  prdData.am = aT_m;
  prdData.Lp = Lw_p;
  prdData.Li = Lw_i;
  prdData.Wwb = Ww_b;
  prdData.Ri = RT_i;
  
  % uni-variate data
  
  % time-length-weight
  tvel = get_tj(pars_tj,f_S,[],tL_Sf(:,1)*kT_M);
  ELw_Sf = L_m*tvel(:,4)/ del_M; % cm, std length
  %
  tvel = get_tj(pars_tj,f_S,[],tW_Sf(:,1)*kT_M);
  EWw_Sf = (L_m*tvel(:,4)).^3.*(1+ome*tvel(:,3)); % g, weight
  %
  tvel = get_tj(pars_tj,f_S,[0 z/z_m l_b*z/z_m],tL_Sm(:,1)*kT_M);
  ELw_Sm = L_m*tvel(:,4)/ del_M; % cm, std length
  %
  tvel = get_tj(pars_tj,f_S,[0 z/z_m l_b*z/z_m],tW_Sm(:,1)*kT_M);
  EWw_Sm = (L_m*tvel(:,4)).^3.*(1+ome_m*tvel(:,3)); % g, weight
  %
  tvel = get_tj(pars_tj,f_T,[],tL_Tf(:,1)*kT_M);
  ELw_Tf = L_m*tvel(:,4)/ del_M; % cm, std length
  %
  tvel = get_tj(pars_tj,f_T,[],tW_Tf(:,1)*kT_M);
  EWw_Tf = (L_m*tvel(:,4)).^3.*(1+ome*tvel(:,3)); % g, weight
  %
  tvel = get_tj(pars_tj,f_T,[0 z/z_m l_b*z/z_m],tL_Tm(:,1)*kT_M);
  ELw_Tm = L_m*tvel(:,4)/ del_M; % cm, std length
  %
  tvel = get_tj(pars_tj,f_T,[0 z/z_m l_b*z/z_m],tW_Tm(:,1)*kT_M);
  EWw_Tm = (L_m*tvel(:,4)).^3.*(1+ome_m*tvel(:,3)); % g, weight

  
  % length-weight
  EWw_S = (LW_S(:,1)*del_M).^3*(1+f_S*ome); % g, weight
  EWw_T = (LW_T(:,1)*del_M).^3*(1+f_T*ome); % g, weight

  
%% pack to output
  prdData.tL_Sf = ELw_Sf;
  prdData.tL_Sm = ELw_Sm;
  prdData.tL_Tf = ELw_Tf;
  prdData.tL_Tm = ELw_Tm;
  prdData.tW_Sf = EWw_Sf;
  prdData.tW_Sm = EWw_Sm;
  prdData.tW_Tf = EWw_Tf;
  prdData.tW_Tm = EWw_Tm;
  prdData.LW_S = EWw_S;
  prdData.LW_T = EWw_T;
  