DOC: Added caret_wrapper.R link into demo/README.md
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XGBoost R Feature Walkthrough
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====
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* [Basic walkthrough of wrappers](basic_walkthrough.R)
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* [Train a xgboost model from caret library](caret_wrapper.R)
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* [Cutomize loss function, and evaluation metric](custom_objective.R)
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* [Boosting from existing prediction](boost_from_prediction.R)
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* [Predicting using first n trees](predict_first_ntree.R)
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