[R] linear regression: Is there a way to get the results of lm as variables

[CE.KA]

Hi R users

I used R to get the results of a linear regression

reg<-lm(y~x)

here are the results:

# Call:
# lm(formula = donnees$txi7098 ~ donnees$txs7098)
# 
# Residuals:                                                                                                       
#       Min        1Q    Median        3Q       Max                                                                
# -0.037971 -0.013373 -0.004947  0.010618  0.053235                                                               
# 
# Coefficients:
#                 Estimate Std. Error t value Pr(>|t|)    
# (Intercept)      0.08547    0.03028   2.822 0.011738 *  
# donnees$txs7098  0.62306    0.12847   4.850 0.000150 ***
# ---
# Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 
#                                                                                                        
# Residual standard error: 0.02199 on 17 degrees of freedom                                                       
# Multiple R-squared: 0.5805,     Adjusted R-squared: 0.5558                                                      
# F-statistic: 23.52 on 1 and 17 DF,  p-value: 0.0001502 

I know how to get  the coefficients as variable
for exemple: 
reg$coefficients[1]=0.08547 (Estimate )
reg$coefficients[2]=0.62306 (Estimate )

My question is:
Is there a way to get the other results of lm as variables?
-Std. Errors?
-t value?
-Pr(>|t|) ?   
-Residual standard error?
-Multiple R-squared?
-F-statistic?

Best regards 

 
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