function [prdData, info] = predict_Rhinolophus_euryale(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.tg, T_ref, T_A); kT_M = TC * k_M;
  
  % zero-variate data

  % life cycle
  pars_tR = [g; k; l_T; v_Hb; v_Hx; v_Hp; t_N * k_M * TC];  % compose parameter vector
  [t_R, t_p, t_x, t_b, l_R, l_p, l_x, l_b, info] = get_tR(pars_tR, f); % -, scaled times & lengths at 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_g = t_0 + t_b/ kT_M;           % d, gestation time at f and T

  % weaning
  tT_x = (t_x - t_b)/ kT_M;         % d, time since birth at weaning at f and T
  
  % pubert
  tT_R = (t_R - t_b)/ kT_M;         % d, time since birth at first litter

  % 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 
 
  % 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_foetus(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
  
  % 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 
  w_m = m_Em_m * w_E/ w_V;             % -, contribution of reserve to weight
  L_mm = v/ k_M/ g_m;                  % cm, max struct length
  L_bm = l_b * L_mm; L_im = f * L_mm;  % cm, struct length, birth & ultimate
  Ww_im = L_im^3 * (1 + f * w_m);      % g, ultimate wet weight
  pars_lbm = [g_m; k; v_Hb];% compose parameter vector
  L_bm = L_mm * get_lb(pars_lbm, f);   % cm, struc length at birth
  Ww_bm = L_bm^3 * (1 + f * w_m);      % g, wet weight at birth

  % pack to output
  prdData.tg = aT_g;
  prdData.tx = tT_x;
  prdData.tp = tT_R;
  prdData.am = aT_m;
  prdData.Wwb = Ww_b;
  prdData.Wwbm = Ww_bm;
  prdData.Wwi = Ww_i;
  prdData.Wwim = Ww_im;
  prdData.Ri = RT_i;
  
  % uni-variate data
  
  % time-weight 
  tf = [0 f_00; 10 f_10; 15 f_15; 40 f_40; 80 f_80]; % scaled func response in time
  [t, Le] = ode45(@get_Le, [0; tW(:,1)], [L_b; 1], [], tf, v * TC, g, L_m);
  Le(1,:) = []; EWw = Le(:,1).^3 .* (1 + Le(:,2) * w);  % g, wet weight
  
  % pack to output
  prdData.tW = EWw;
  
end

function dLe = get_Le(t, Le, tf, v, g, L_m)
  L = Le(1); e = Le(2);
  f = spline1(t, tf);
  de = (f - e) * v/ L;
  r = v * (e/L - 1/L_m)/ (e + g);
  dL = L * r/3;
  dLe = [dL; de];
end
  