EAT_object: Create a EAT object
In MiriamEsteve/EAT: Efficiency Analysis Trees

This function saves information about the Efficiency Analysis Trees model.

EAT_object(
  data,
  x,
  y,
  rownames,
  numStop,
  fold,
  max.depth,
  max.leaves,
  na.rm,
  tree
)

`data`	`data.frame` or `matrix` containing the variables in the model.
`x`	Column input indexes in `data`.
`y`	Column output indexes in `data`.
`rownames`	`string`. Data rownames.
`numStop`	Minimum number of observations in a node for a split to be attempted.
`fold`	Set of number of folds in which the dataset to apply cross-validation during the pruning is divided.
`max.depth`	Maximum number of leaf nodes.
`max.leaves`	Depth of the tree.
`na.rm`	`logical`. If `TRUE`, `NA` rows are omitted. If `FALSE`, an error occurs in case of `NA` rows.
`tree`	`list` containing the nodes of the Efficiency Analysis Trees pruned model.