Partial least squares regression and principal component analysis: similarity and differences between two popular variable reduction approaches

In many statistical applications, composite variables are constructed to reduce the number of variables and improve the performances of statistical analyses of these variables, especially when some of the variables are highly correlated. Principal component analysis (PCA) and factor analysis (FA) ar...

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Detalles Bibliográficos
Autores principales: Liu, Chenyu, Zhang, Xinlian, Nguyen, Tanya T, Liu, Jinyuan, Wu, Tsungchin, Lee, Ellen, Tu, Xin M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Biostatistical Methods in Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796256/
https://www.ncbi.nlm.nih.gov/pubmed/35146334
http://dx.doi.org/10.1136/gpsych-2021-100662

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796256/
https://www.ncbi.nlm.nih.gov/pubmed/35146334
http://dx.doi.org/10.1136/gpsych-2021-100662

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