function [prdData, info] = predict_Theromyzon_tessulatum(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);
  
  % zero-variate data

  % life cycle
  pars_tp = [g k l_T v_Hb v_Hp];
  [t_p, t_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_b = t_0 + t_b/ k_M/ TC;        % d, age at birth

  % puberty
  tT_p = (t_p - t_b)/k_M/ TC;          % d, time since birth at puberty
  L_p = l_p * L_m;                  % cm, structural length at puberty
  Ww_p = L_p^3 * (1 + f * w);       % g, wet weight at puberty
  
  % ultimate
  l_i = f - l_T;                    % -, scaled ultimate length
  L_i = L_m * l_i;                  % 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/ k_M/ TC;                  % d, mean life span at T
  
  % reproduction
  pars_R = [kap; kap_R; g; TC * k_J; TC * k_M; L_T; TC * v; U_Hb/ TC; U_Hp/ TC]; % compose parameter vector
  NT_i = cum_reprod(160, f, pars_R); % #, cum no of eggs at 2 mnths before death

  % pack to output
  prdData.ab = aT_b;
  prdData.tp = tT_p;
  prdData.am = aT_m;
  prdData.Wwb = Ww_b;
  prdData.Wwp = Ww_p;
  prdData.Wwi = Ww_i;
  prdData.Ni = NT_i;
  
  % uni-variate data
  
  % time-embryo length
  rT_B = TC * k_M/ 3/ (1 + f/ g);   % 1/d, von Bert growth rate
  L = L_i - (L_i - L_b) * exp( - rT_B * tW(:,1)); % cm, structural length post birth
  EWw =  L.^3 * (1 + f * w) * 1e3; % mg, wet weight
  
  % pack to output
  prdData.tW = EWw;
  