function [prdData, info] = predict_Elimia_proxima(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
  Lw_b = L_b/ del_M;                % cm, shell length at birth at f
  aT_b = tau_b/ kT_M;               % d, age at birth
   
  % puberty 
  L_p = L_m * l_p;                  % cm, structural length at puberty at f
  Lw_p = L_p/ del_M;                % cm, shell length at puberty at f

  % ultimate
  L_i = L_m * f;                    % cm, ultimate structural length at f
  Lw_i = L_i/ del_M;                % cm, ultimate total length at f
  Ww_i = L_i^3 * (1 + f * ome);     % g, ultimate wet weight
  
  % reproduction
  pars_R = [kap; kap_R; g; k_J; k_M; L_T; v; U_Hb; U_Hp]; % compose parameter vector at T
  RT_i = TC * reprod_rate(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;                  % d, mean life span at T
  
  % pack to output
  prdData.am = aT_m;
  prdData.Lb = Lw_b;
  prdData.Lp = Lw_p;
  prdData.Li = Lw_i;
  prdData.Ri = RT_i;
  
  % uni-variate data
  
  % time-length 
  rT_B = kT_M/ 3/ (1 + f_tL/ g); Lw_i = L_m * f_tL/ del_M; 
  EdLw = rT_B * (Lw_i - LdL(:,1)); % cm, structural length at time
  
  % length-weight
  EWw = (LWw(:,1) * del_M).^3 * (1 + f * ome); % g, wet weight

  % pack to output
    prdData.LdL = EdLw;  
    prdData.LWw = EWw;
    
