fiveWines4Rotation: 5 wines are described by sensory and chemistry variables.

In HerveAbdi/data4PCCAR: Some data sets and R-functions for PCA and CA to accompany Abdi & Beaton (to appear, 2023) Principal Component and Correspondence Analysis with R

5 wines are described by sensory and chemistry variables.

Description

fiveWines4Rotation: Five wines are described by two blocks of variables: Sensory and Chemistry.

Usage

data("fiveWines4Rotation")

Format

A list with two matrices:

• Xmat.Chemistry The chemistry properties (4 variables)

• Ymat.Sensory The sensory properties (3 variables).

Details

The five (rather fictitious) wines are described by two blocks of variables corresponding (respectively) to their sensory and chemistry properties. This data set has been used to illustrate (Varimax) rotation for factor analytic methods and also in several papers about Partial Least Square Regression (PLSR).

Author(s)

Hervé Abdi

References

These data have been used to illustrate PLSR and rotations in factor analytic methods See, for example, the papers available from https://personal.utdallas.edu/~herve/:

Abdi, H. (2010). Partial least square regression, projection on latent structure regression, PLS-Regression. Wiley Interdisciplinary Reviews: Computational Statistics, 2, 97-106.

Abdi, H. (2003). Factor rotations. In M. Lewis-Beck, A. Bryman, T. Futing (Eds): Encyclopedia for research methods for the social sciences. Thousand Oaks (CA): Sage. 978-982.

HerveAbdi/data4PCCAR documentation built on Sept. 11, 2022, 4:19 p.m.