ls.print                package:stats                R Documentation

_P_r_i_n_t '_l_s_f_i_t' _R_e_g_r_e_s_s_i_o_n _R_e_s_u_l_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     Computes basic statistics, including standard errors, t- and
     p-values for the regression coefficients and prints them if
     'print.it' is 'TRUE'.

_U_s_a_g_e:

     ls.print(ls.out, digits = 4, print.it = TRUE)

_A_r_g_u_m_e_n_t_s:

  ls.out: Typically the result of 'lsfit()'

  digits: The number of significant digits used for printing

print.it: a logical indicating whether the result should also be
          printed

_V_a_l_u_e:

     A list with the components 

 summary: The ANOVA table of the regression

coef.table: matrix with regression coefficients, standard errors, t-
          and p-values

_N_o_t_e:

     Usually, you'd rather use 'summary(lm(...))' and 'anova(lm(...))'
     for obtaining similar output.

_S_e_e _A_l_s_o:

     'ls.diag', 'lsfit', also for examples; 'lm', 'lm.influence' which
     usually are preferable.