\begin{Schunk}
\begin{Soutput}
These variables were mean-centered before any transformations were made on the design matrix.
[1] "x1c" "x2c"
The centers and scale factors were 
           x1c      x2c
mean  50.48552 50.69844
scale  1.00000  1.00000
The summary statistics of the variables in the design matrix (after centering). 
             mean std.dev.
y       1286.3620 470.3068
x1c        0.0000   9.4335
x2c        0.0000   9.7806
x1c:x2c   11.7519  94.5357

The following results were produced from: 
meanCenter.default(model = m2)

Call:
lm(formula = y ~ x1c * x2c, data = stddat)

Residuals:
    Min      1Q  Median      3Q     Max 
-634.81 -173.75  -17.76  160.99  715.48 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 1281.7531    12.9624  98.883  < 2e-16 ***
x1c           26.4058     1.3770  19.177  < 2e-16 ***
x2c           27.1550     1.3490  20.129  < 2e-16 ***
x1c:x2c        0.3922     0.1387   2.829  0.00491 ** 
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 257.2 on 396 degrees of freedom
Multiple R-squared:  0.7032,	Adjusted R-squared:  0.7009 
F-statistic: 312.7 on 3 and 396 DF,  p-value: < 2.2e-16
\end{Soutput}
\end{Schunk}
