pratergrouped            package:betareg            R Documentation

_G_r_o_u_p_e_d _P_r_a_t_e_r'_s _g_a_s_o_l_i_n_e _d_a_t_a

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

     This dataset was collected by Prater (1956), its dependent
     variable is the proportion of crude oil after distilation and
     fractionation. This dataset was analyzed by Atkunson (1985), who
     used the linear regression model and noted that there is
     "indication that the error distribution is not quite symmetrical,
     giving rise to some unduly large and small residuals" (p. 60).

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

     data(prater)

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

     A data frame with 32 observations on 11 variables.

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

     Prater, N.H. (1956). Estimate gasoline yields from crudes. New
     York: Springer-Verlag.

_R_e_f_e_r_e_n_c_e_s:

     Atkinson, A.C. (1985). _Plots, Transformations and Regression: An
     Introduction to Graphical Methods of Diagnostic Regression
     Analysis._ New York: Oxford University Press.

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

     data(pratergrouped)
     attach(pratergrouped)
     y <- V11/100
     X <- cbind(V1,V2,V3,V4,V5,V6,V7,V8,V9,V10)
     fit1 <- betareg(y ~ X)
     fit2 <- betareg(y ~ X, link = "probit")
     plot(fit1)

