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summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

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library(datasets)
data("airquality")
fit <- lm(Ozone ~ Wind + Temp + Solar.R, data=airquality)

Here is a sample of regression coefficients.

library(xtable)
xt <- xtable(summary(fit))
print(xt, type = "html")
Estimate Std. Error t value Pr(>|t|)
(Intercept) -64.3421 23.0547 -2.79 0.0062
Wind -3.3336 0.6544 -5.09 0.0000
Temp 1.6521 0.2535 6.52 0.0000
Solar.R 0.0598 0.0232 2.58 0.0112