Leave One Out Cross Validation (LOOCV) and JackKnife Cross Validation in R

Machine Learning and Modeling
1

I am new to Machine Learning and R. Please can anyone enlighten me is I have seen some literature that differentiates Leave One Out Cross Validation (LOOCV) and JackKnife Cross Validation.

Is there a real difference?
How to implement Jackknife Cross Validation training control in R?
I know LOOCV is implemented like this
train_control <- trainControl(method="LOOCV")

How will I write the code if I was using Jackknife or is it the same or the above is totally wrong?

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