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R
OpenMx

multiData1_data

Data for multiple regression

Description

Data set used in some of OpenMx's examples.

Usage

data("multiData1")

Format

A data frame with 500 observations on the following variables.

x1
x2
x3
x4
y

Details

x1-x4 are predictor variables, and y is the outcome.

Source

Simulated.

References

The OpenMx User's guide can be found at http://openmx.ssri.psu.edu/documentation.

Examples

data(multiData1)
summary(lm(y ~ ., data=multiData1))
#results can be replicated in OpenMx.
OpenMx

Extended Structural Equation Modelling

v2.19.5
Apache License (== 2.0)
Authors
Steven M. Boker [aut], Michael C. Neale [aut], Hermine H. Maes [aut], Michael J. Wilde [ctb], Michael Spiegel [aut], Timothy R. Brick [aut], Ryne Estabrook [aut], Timothy C. Bates [aut], Paras Mehta [ctb], Timo von Oertzen [ctb], Ross J. Gore [aut], Michael D. Hunter [aut], Daniel C. Hackett [ctb], Julian Karch [ctb], Andreas M. Brandmaier [ctb], Joshua N. Pritikin [aut, cre], Mahsa Zahery [aut], Robert M. Kirkpatrick [aut], Yang Wang [ctb], Ben Goodrich [ctb], Charles Driver [ctb], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Association for Computing Machinery [cph], Dieter Kraft [cph], Stefan Wilhelm [cph], Sarah Medland [cph], Carl F. Falk [cph], Matt Keller [cph], Manjunath B G [cph], The Regents of the University of California [cph], Lester Ingber [cph], Wong Shao Voon [cph], Juan Palacios [cph], Jiang Yang [cph], Gael Guennebaud [cph], Jitse Niesen [cph]
Initial release
2021-03-26

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