title: Caret package - Is it possible to use the package in R without resampling?
body: <p>I'm starting to use the caret package. </p>
  
  <p>My study is about a prediction of historical financial series. I have a training period of 6 years for the input of a neural network. It is important that the input data follow the historical sequence. </p>
  
  <p>I would like to use the <code>caret</code> package without sampling, but with all the historical information. </p>
  
  <p>I think that by default the function does sampling. I only saw options to change shape of sampling in function <code>trControl()</code>. </p>
  
  <p>My tuning would be the number of neurons and what input variables are best. I would like to change an activation function too. </p>
  
  <p>Is it possible?</p>
  
  <pre><code>m  &lt;- train(Sepal.Length~.,
          data = iris, 
          method = 'mlpWeightDecay', 
          metric = 'RMSE',
          maxit=100,
          tuneGrid = expand.grid(size=1:2, decay=1)
  )
  </code></pre>