pine               package:AICcmodavg               R Documentation

_S_t_r_e_n_g_t_h _o_f _p_i_n_e _w_o_o_d _b_a_s_e_d _o_n _t_h_e _d_e_n_s_i_t_y _a_d_j_u_s_t_e_d _f_o_r _r_e_s_i_n _c_o_n_t_e_n_t.

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

     This data set consists of the strength of pine wood as a function
     of density or density adjusted for resin content.

_U_s_a_g_e:

     data(pine)

_F_o_r_m_a_t:

     A data frame with 42 observations on the following 3 variables.

     '_y' pine wood strength

     '_x' pine wood density

     '_z' pine wood density adjusted for resin content

_D_e_t_a_i_l_s:

     Burnham and Anderson (2002, p. 183) use this data set originally
     from Carlin and Chib (1995) to illustrate model selection for two
     competing and non-nested models.

_S_o_u_r_c_e:

     Burnham, K. P., Anderson, D. R. (2002) _Model Selection and
     Multimodel Inference: a practical information-theoretic approach_.
     Second edition. Springer: New York. 

     Carlin, B. P., Chib, S. (1995) Bayesian model choice via Markov
     chain Monte Carlo methods. _Journal of the Royal Statistical
     Society,  Series B_ *57*, 473-484.

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

     data(pine)
     ## maybe str(pine) ; plot(pine) ...

