A model‐based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients.

MLA

Gu, Fei, and Mike W.‐L. Cheung. “A Model‐based Approach to Multivariate Principal Component Regression: Selecting Principal Components and Estimating Standard Errors for Unstandardized Regression Coefficients.” British Journal of Mathematical & Statistical Psychology, vol. 76, no. 3, Nov. 2023, pp. 605–22. EBSCOhost, https://doi.org/10.1111/bmsp.12301.

APA

Gu, F., & Cheung, M. W. ‐L. (2023). A model‐based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients. British Journal of Mathematical & Statistical Psychology, 76(3), 605–622. https://doi.org/10.1111/bmsp.12301

Chicago

Gu, Fei, and Mike W.‐L. Cheung. 2023. “A Model‐based Approach to Multivariate Principal Component Regression: Selecting Principal Components and Estimating Standard Errors for Unstandardized Regression Coefficients.” British Journal of Mathematical & Statistical Psychology 76 (3): 605–22. doi:10.1111/bmsp.12301.