Machine Learning Feature Selection Toolkit

Create an advanced Excel toolkit for feature selection and preprocessing using statistical techniques. Develop custom array formulas and VBA functions that can automatically perform correlation matrix analysis, implement dimensionality reduction techniques like Principal Component Analysis (PCA), and generate feature importance rankings. The toolkit should support multiple input data types and provide visual representations of feature relationships using heatmaps and correlation networks.