Forward Stepwise Regression Algorithm 1.0

Date Added: July 16, 2013 | Visits: 322

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Forward stepwise model selection algorithm: Variables are sequentially added to the active set of variables. The procedure does not involve any tests of statistical significance of the potential covariates; instead, it produces a ranking that corresponds to the order of variables as they enter the active set.The function can be provided with a dataset of size (K+1)xN (N observations, K predictors, one explained variable).

Requirements: No special requirements

Platforms: Matlab

Keyword: Corresponds, Enter, Explained, Function, Order, Produces, Provided, Ranking, Variable

Users rating: 0/10

License: Shareware

Size: 10 KB

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