Dear friends,
  After running the lm() model, we can get summary resluts like the
following:
Coefficients:
   Estimate  Std. Error  t value Pr(>|t|)
x1  0.11562    0.10994   1.052   0.2957
x2 -0.13879    0.09674  -1.435   0.1548
x3  0.01051    0.09862   0.107   0.9153
x4  0.14183    0.08471   1.674   0.0975 .
x5  0.18995    0.10482   1.812   0.0732 .
x6  0.24832    0.10059   2.469   0.0154 *
x7 -0.04425    0.11008  -0.402   0.6886
x8  0.05146    0.10290   0.500   0.6182
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**the program maybe :
data<-matrix(rnorm(900),ncol=9) #9variables,1dependent var,8independent
data<-data.frame(data)
names(data)<-c('y','x1','x2','x3','x4','x5','x6','x7','x8')
logr<-lm(y~x1+x2+x3+x4+x5+x6+x7+x8-1,data)
a<-summary(logr)
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Could i extract the p-values or t-values from the a$Coefficients, i searched
the attributes(a), but don't find the options,how to do that?
Thanks very much!

-- 
Kind Regards,
Zhi Jie,Zhang ,

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