Lambert88: Correlation matrix of artificial data

In mulSEM: Some Multivariate Analyses using Structural Equation Modeling

Correlation matrix of artificial data

Description

This dataset includes a correlation matrix of nine artificial variables used in Table 1 of Lambert, Wildt, and Durand (1988).

Usage

Lambert88

Format

A 9x9 correlation matrix.

Source

Lambert, Z. V., Wildt, A. R., & Durand, R. M. (1988). Redundancy analysis: An alternative to canonical correlation and multivariate multiple regression in exploring interset associations. Psychological Bulletin, 104(2), 282-289. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/0033-2909.104.2.282")}

References

Gu, F., Yung, Y.-F., Cheung, M. W.-L., Joo, B.-K., & Nimon, K. (2023). Statistical inference in redundancy analysis: A direct covariance structure modeling approach. Multivariate Behavioral Research, 58(5), 877-893. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/00273171.2022.2141675")}

Examples

data(Lambert88)


## Redundancy Analysis
rda(X_vars=paste0("x", 1:5), Y_vars=paste0("y", 1:4), Cov=Lambert88, numObs=100)

mulSEM documentation built on Feb. 17, 2026, 1:07 a.m.