This cluster of papers focuses on the application of multivariate analysis in statistical research, covering topics such as principal component analysis, regression analysis, machine learning, model selection, and overfitting. It explores various statistical modeling techniques and data reduction methods to analyze complex relationships within multidimensional datasets.
Multivariate Analysis; Principal Component Analysis; Regression Analysis; Machine Learning; Statistical Modeling; Data Reduction; Cluster Analysis; Discriminant Analysis; Model Selection; Overfitting