The authors propose an adaptive linear approach for time series modeling, employing the Weighted Recursive Least Squares (WRLS) method. To ensure a robust model, they utilize Principal Component Analysis (PCA) to select linearly correlated interpretive variables, examining eigenvalues and eigenvectors.