Ordinary Least Squares Regression Task
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An Ordinary Least Squares Regression Task is an Least Squares Regression Task that requires the minimization of the sum of squared distances between the observed response variables and the regressed model's fitted response variables against some regression dataset.
- Context:
- It can range from being an Ordinary Linear Least Squares Regression Task to being an Ordinary Non-Linear Least Squares Regression Task.
- It can be solved by an Ordinary Least Squares Regression System.
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- Counter-Example(s):
- See: Least Squares Regression Algorithm.