> bag.fsr(x=ncaa2[,1:19],y=ncaa2$y,B=100)->out.ncaa
Loading required package: leaps

> names(out.ncaa)
[1] "coeff.av"  "coeff.sd"  "interc.av" "pred"      "interc.sd" "prop"     
[7] "amean"     "sizem"    

Coefficent estimates
> round(out.ncaa$coeff.av,3)
 [1]  0.020  2.934  0.237  0.768  0.227  0.106 -2.373 -0.333  1.429  0.000
[11]  0.032 -0.105  0.017  0.038  0.000  0.055 -0.046 -0.032  0.015

Bootstrap standard deviations of coeff. estimates
> round(out.ncaa$coeff.sd,3)
 [1] 0.052 0.965 0.145 0.313 0.146 0.133 1.614 0.509 1.720 0.000 0.123 0.278
[13] 0.049 0.244 0.000 0.159 0.084 0.072 0.063

Proportion of times variable appears in selected model
> round(out.ncaa$prop,3)
 [1] 0.15 0.99 0.80 0.93 0.75 0.41 0.75 0.33 0.45 0.22 0.14 0.13 0.12 0.17 0.24
[16] 0.19 0.25 0.22 0.13

Mean of estimated alpha-to-enter
> round(out.ncaa$amean,4)
[1] 0.0396

Mean size of selected model
> round(out.ncaa$sizem,4)
[1] 7.37