function [prdData, info] = predict_Polyclinum_aurantium(par, data, auxData)  
  %% unpack par, chem, cpar and data

  % unpack par, chem, cpar and data
  cPar = parscomp_st(par);
  v2struct(par); v2struct(cPar); v2struct(data); v2struct(auxData); 

  %% compute temperature correction factors
  TC = tempcorr(temp.ab, T_ref, T_A);

  %% zero-variate data

  % life cycle
  pars_tp = [g; k; l_T; v_Hb; v_Hp];               % compose parameter vector
  [t_p, t_b, l_p, l_b, info] = get_tp(pars_tp, f); % -, scaled times & lengths at f
  
  % birth
  L_b = L_m * l_b;                  % cm, structural length at birth at f
  Vw_b = L_b^3 * (1 + f * w);       % cm^3, volume at birth at f
  aT_b = t_b/ k_M/ TC;              % d, age at birth at f and T

  % puberty 
  aT_p = t_p/ k_M/ TC;              % d, age at puberty at f and T

  % ultimate
  l_i = f - l_T;                    % -, scaled ultimate length at f
  L_i = L_m * l_i;                  % cm, ultimate structural length at f
  Vw_i = L_i^3 * (1 + f * w);         % cm^3, ultimate volume at f
 
  % 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.ab = aT_b;
  prdData.ap = aT_p;
  prdData.am = aT_m;
  prdData.Vb = Vw_b;
  prdData.Vi = Vw_i;
  prdData.Ri = RT_i;
  
  %% uni-variate data
  
  % time-volume
  rT_B = TC * k_M/ 3/ (1 + f/ g); % 1/, von Bert growth rate
  L = L_i - (L_i - L_b) * exp(-rT_B * tV(:,1)); % cm, struct length
  EV = L.^3 * (1 + f * w); % cm^3, volume
    
  %% pack to output               
  prdData.tV = EV;
