> lm.M<-lm(y~x1+x2+x4+x5+x6,data=ms)
> summary(lm.M)
Call:
lm(formula = y ~ x1 + x2 + x4 + x5 + x6, data = ms)
Residuals:
1 2 3 4 5 6 7
-0.006811 -3.602484 0.138659 0.652129 0.776480 0.657713 1.384316
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4.065e+02 5.229e+01 7.773 0.0815 .
x1 -4.763e-01 7.405e-02 -6.431 0.0982 .
x2 -5.759e-01 2.261e-01 -2.547 0.2382
x4 -3.843e+00 1.303e+00 -2.948 0.2082
x5 -3.109e+02 6.736e+01 -4.615 0.1358
x6 -3.635e+04 3.649e+04 -0.996 0.5012
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 4.047 on 1 degrees of freedom
Multiple R-squared: 0.9979, Adjusted R-squared: 0.9876
F-statistic: 96.68 on 5 and 1 DF, p-value: 0.07705


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