In the context of developing a Linear Regression model for a Financial Institution, you identify multicollinearity among several independent variables, which adversely affects the model's performance. A seasoned Data Scientist recommends specific techniques to mitigate this issue, considering the institution's need for scalability, interpretability, and compliance with financial regulations. Which three techniques or algorithms would the Data Scientist most likely recommend to address multicollinearity effectively? (Choose three)