Problem 1: Baseline predictor. Compute the baseline predictor R based on the following raw data matrix R: 5- 5 41 R- 4 1 2 4 3 (Hint: This involves a least squares with sixteen equations and nine variables. Feel free to use any program- ming language. For example, the backslash operator or p?nv() in Matlab can be helpful. If there are multiple solutions to the least squares problem, take any one of those.) Problem 1: Baseline predictor. Compute the baseline predictor R based on the following raw data matrix R: 5- 5 41 R- 4 1 2 4 3 (Hint: This involves a least squares with sixteen equations and nine variables. Feel free to use any program- ming language. For example, the backslash operator or p?nv() in Matlab can be helpful. If there are multiple solutions to the least squares problem, take any one of those.)