执行  . bootstrap, reps(1000) noisily : regress wc cfo lcfo pcfo  命令后的结果如下：

bootstrap: First call to regress with data as is:

. regress wc cfo lcfo pcfo

      Source |       SS       df       MS              Number of obs =     966
-------------+------------------------------           F(  3,   962) =   72.52
       Model |  2.25942074     3  .753140247           Prob > F      =  0.0000
    Residual |  9.99078939   962  .010385436           R-squared     =  0.1844
-------------+------------------------------           Adj R-squared =  0.1819
       Total |  12.2502101   965  .012694518           Root MSE      =  .10191

------------------------------------------------------------------------------
          wc |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         cfo |  -.6946874   .0486058   -14.29   0.000     -.790073   -.5993019
        lcfo |   .3907053   .0466717     8.37   0.000     .2991151    .4822955
        pcfo |   .1559095   .0439631     3.55   0.000     .0696349     .242184
       _cons |   -.004381   .0042047    -1.04   0.298    -.0126325    .0038705
------------------------------------------------------------------------------

Bootstrap replications (1000)
. regress wc cfo lcfo pcfo

      Source |       SS       df       MS              Number of obs =     966
-------------+------------------------------           F(  3,   962) =   52.72
       Model |  1.75333499     3  .584444998           Prob > F      =  0.0000
    Residual |  10.6647989   962   .01108607           R-squared     =  0.1412
-------------+------------------------------           Adj R-squared =  0.1385
--more--

请问再执行什么命令可以直接在结果中列示出每一次重复抽样回归结果中的R2和Adj R2 ？

谢谢！！急用啊！