stacking and blending of regression models
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Using the stackloss data, fit a model with stack. loss as the response and the other three variables as predictors using the following methods: (a) Least squares (b) Least absolute deviations (c) Huber method (d) Least trimmed squares Compare the results. Now use diagnostic methods to detect any outliers or influential points. Remove these points and then use least squares. Compare the results. | Numerade
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