Update Regression.do.txt
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@@ -947,7 +947,7 @@ How can we use the singular value decomposition to find the parameters $\beta_j$
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!eblock
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Add codes and discuss this in connection with lasso and ridge, show example where the standard inversion of a matrix fails and where SVD comes to rescue
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Add codes and discuss this in connection with lasso and ridge, show example where the standard inversion of a matrix fails and where SVD comes to rescue. Include first a discussion of the general SVD and then discuss the thin SVD.
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!split
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