ReducedRankRegressions {sBIC} | R Documentation |
Construct a poset of reduced rank regression models.
Description
Creates an object representing a collection of reduced rank regression models. There is one model for each fixed rank from 1 to some specified maximum. In particular each model is identified by a single number specifiying the rank of the regression matrix in the model. Models are naturally ordered by inclusion so that, for example, a model with 2 rank 2 comes before before a model with rank 3 or greater.
Usage
ReducedRankRegressions(numResponses, numCovariates, maxRank)
Arguments
numResponses |
the number of response variables. |
numCovariates |
the number of covariates. |
maxRank |
the largest rank model to be included in the collection. |
Value
An object representing the collection.
[Package sBIC version 0.2.0 Index]