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matrixpls (version 0.5.0)

inner.path: PLS inner estimation with the path scheme

Description

Calculates a set of inner weights based on the path scheme.

Usage

inner.path(S, W, inner.mod, ...)

Arguments

S
Covariance matrix of the data.
W
Weight matrix, where the indicators are on colums and composites are on the rows.
inner.mod
A square matrix specifying the relationships of the composites in the model.
...
Other parameters are ignored

Details

In the path scheme, inner weights are based on regression estimates of the relationships between composites that are connected in the model specified in inner.mod, and correlations for the inverse relationships. If a relationship is reciprocal, regression is used for both directions.

Falls back to to identity scheme for composites that are not connected to any other composites.

References

Lohmöller J.-B. (1989) Latent variable path modeling with partial least squares. Heidelberg: Physica-Verlag.

See Also

Other inner estimators: inner.GSCA; inner.Horst; inner.centroid; inner.factor; inner.identity