When I use boot() for a series of regression coefficients, I get the display of Bootstrap Statistics as shown below. Is there a way of retrieving these Bootstrap Statistics in the form of a data frame?

bs<-function(formula, data, indices) {
  d<-data[indices,]
  fit1<-lm(formula,data=d)
  r<-residuals(fit1)
  taus<-c(0.1, 0.2, 0.3, 0.4, 0.5)
  fit2<-rq(srs~r, tau=taus, data=d)
  return(coef(fit2))

library(boot)
results<-boot(data=earli, statistic=bs, R=1000, formula=Freq~prepreg_bmi+mat_age)             
results

Bootstrap Statistics :
      original      bias    std. error
t1*  39.000000 -0.06213177   0.4923311
t2*   0.000000  0.81613987   0.9480617
t3*  39.994080  0.20734506   0.5515006
t4*   1.978584 -0.27895713   1.0157747
t5*  41.494479  0.08356320   0.6923510
t6*   2.982711 -0.28310189   1.2957767
t7*  43.464062 -0.22307964   0.7879350
t8*   3.075496  0.31197213   1.4150300
t9*  44.974168  0.03526846   0.8638345
t10*  3.978100 -0.53116587   1.5490870

I tried results$t0 but that gave me only the intercepts and coefficients within a data frame.
I would like to get the standard errors within the data frame too.