R help - Oct 2017 - Test set and Train set in Caret package train function

Hey all,

Does anyone know how we can get train set and test set for each fold of 5 fold
cross validation in Caret package? Imagine if I want to do cross validation by
random forest method, I do the following in Caret:

set.seed(12)
train_control <- trainControl(method="cv", number=5,savePredictions
= TRUE)
rfmodel <- train(Species~., data=iris, trControl=train_control,
method="rf")
first_holdout <- subset(rfmodel$pred, Resample == "Fold1")
str(first_holdout)
'data.frame':	90 obs. of  5 variables:
$ pred    : Factor w/ 3 levels "setosa","versicolor",..: 1 1
1 1 1 1 1 1 1 1
$ obs     : Factor w/ 3 levels "setosa","versicolor",..: 1 1
1 1 1 1 1 1 1 1
$ rowIndex: int  2 3 9 11 25 29 35 36 41 50 ...
$ mtry    : num  2 2 2 2 2 2 2 2 2 2 ...
$ Resample: chr  "Fold1" "Fold1" "Fold1"
"Fold1" ...

Are these 90 observations in Fold1 used as training set? If yes then where is
the test set for this fold?

thanks for any help! 

Elahe