This exercise is part of the course
Data wrangling, simple regression, multiple regression, regression diagnostics
Regression for binary outcomes, training and testing a (predictive) model, cross-validation
Datasets in R, Linear Discriminant Analysis (LDA) and K-means clustering
Current Exercise
Principal component analysis (PCA), Correspondence analysis (CA)
Graphical Displays and Summary Measure Approach, Linear Mixed Effects Models for Normal Response Variables