Instructions This problem is related to Nearest neighbors classifiers described in section 9.5 in "Modern Statistics with R" - https://modemnstatisticswithr.com: Fit a KNN classification model to the wine data, using pH, alcohol, fixed.acidity, and residual.sugar as explanatory variables. Evaluate its performance using 10-fold cross-validation, using AUC to choose the best lo solve the problem, you'll need to load the data and libraries with: # Import data about white and red wines: white read.csv(*https://tinyurl.comrwinedata1"sep = ". red