ENS9342 Homework1 Due: 9.17 2021 Feature selection is an important application area of machine learning. We can use regularization methods to fit and simplify mathematical models. Write a Matlab program, use LASSO or Elastic net method to fit the following form of model. 31 2 1 2 3 n nP x x x x   =     Where 1 2 3 nP and x x x x is known, calculate 1 2 3 n   and  , and point out the first three x with the strongest correlation. Please find the data by yourself. No experimental data is provided for this assignment. My scoring standard is that after I bring in my own data 1 2 3 nx x x x ,P and n, the error of 1 2 3 n   does not exceed 10%, and at the same time correctly point out the variables with strong correlation. Hint: You can use the logarithmic function to process the model and turn it into an additive form.