Correlation Coefficient, Linear Regression, Regression Modeling, Multicollinearity, Nonlinear Regression.
improve the stability and generalizability of the model. Use principal component analysis (PCA): PCA is a technique for reducing the dimensionality of the data by creating new variables that are linear combinations of the original variables. The new variables, called principal components, are