title: How to see the performance of all gam models when model select=TRUE
body: <p>I run a gam with variable selection. But I want to evaluate the output of all the variables combination and not only for the best model for comparison. I am using mgcv package in R, is there some command for model evaluation (before I start coding many loops...).</p>
  
  <p>Example: </p>
  
  <pre><code>    set.seed(3);n&lt;-200
      dat &lt;- gamSim(1,n=n,scale=.15,dist="poisson")
      dat$x4 &lt;- runif(n, 0, 1);dat$x5 &lt;- runif(n, 0, 1) ## spurious
      b&lt;-gam(y~s(x0)+s(x1)+s(x2)+s(x3)+s(x4)+s(x5),data=dat,
      family=poisson,select=TRUE,method="REML")
  </code></pre>
  
  <p>If I use summary(b), I only see the results of the best model.</p>