

NLSstAsymptotic {nls}                        R Documentation

_F_i_t _t_h_e _A_s_y_m_p_t_o_t_i_c _R_e_g_r_e_s_s_i_o_n _M_o_d_e_l

_D_e_s_c_r_i_p_t_i_o_n_:

     Fits the asymptotic regression model, in the form `b0 +
           b1*exp(-exp(lrc) * x)' to the `xy' data.  This
     can be used as a building block in determining starting
     estimates for more complicated models.

_U_s_a_g_e_:

     NLSstAsymptotic(xy, yval)

_A_r_g_u_m_e_n_t_s_:

      xy: a `sortedXyData' object

_V_a_l_u_e_:

     A numeric value of length 3 with components labelled
     `b0', `b1', and `lrc'

_A_u_t_h_o_r_(_s_)_:

     Jose Pinheiro and Douglas Bates

_S_e_e _A_l_s_o_:

     `SSasymp'

_E_x_a_m_p_l_e_s_:

     library( nls )
     data( Loblolly )
     Lob.329 <- Loblolly[ Loblolly$Seed == "329", ]
     NLSstAsymptotic(sortedXyData(expression(age), expression(height), Lob.329 ))

