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

  % life cycle
  pars_tp = [g k l_T v_Hb v_Hp];
  [tau_p, tau_b, l_p, l_b, info] = get_tp(pars_tp, f);
  
  % birth
  L_b = L_m * l_b;                  % cm, structural length at birth at f
  Ww_b = L_b^3 * (1 + f * w);       % g, wet weight at birth at f 
  aT_b = t_0 + tau_b/ kT_M;         % d, age at birth
  
  % puberty 
  L_p = L_m * l_p;                  % cm, structural length at puberty at f
  Ww_p = L_p^3 * (1 + f * w);       % g, wet weight at puberty 

  % ultimate
  L_i = L_m * f;                    % cm, ultimate structural length at f
  Ww_i = L_i^3 * (1 + f * w);       % g, ultimate wet weight 
 
  % 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/ kT_M;                     % d, mean life span at T

  % pack to output
  prdData.ab = aT_b;
  prdData.am = aT_m;
  prdData.Wwb = Ww_b;
  prdData.Wwp = Ww_p;
  prdData.Wwi = Ww_i;
  
  % uni-variate data
  
  % time-weight
  ir_B = 3/ k_M + 3 * f * L_m/ v; rT_B = TC/ ir_B; % d, 1/von Bert growth rate
  L = L_i - (L_i - L_b) * exp(- rT_B * tWw(:,1));  % cm, structural length at time
  EWw = L.^3 * (1 + f * w);                        % g, wet weight females
  
  % weight - fecundity
  pars_R = [kap; kap_R; g; k_J; k_M; L_T; v; U_Hb; U_Hp]; % compose parameter vector
  EN = 365 * TC * reprod_rate((WwN(:,1)/ (1 + f * ome)).^(1/3), f, pars_R);  % reproduction rate 
  
  % pack to output
  prdData.tWw = EWw;
  prdData.WwN = EN;
  
