The list of articles related to this package is provided here:
Thiel, Michel, Benaiche, Nadia, Martin, Manon, Franceschini, Sébastien, Van Oirbeek, Robin, Govaerts, Bernadette. 2023. limpca: An R package for the linear modeling of high-dimensional designed data based on ASCA/APCA family of methods. Journal of Chemometrics. 37( 7):e3482. doi:10.1002/cem.3482
Open access to the preprint: http://hdl.handle.net/2078.1/277096
Govaerts, Bernadette, Bernard G. Francq, Rebecca Marion, Manon Martin, and Michel Thiel. 2020. “The Essentials on Linear Regression, ANOVA, General Linear and Linear Mixed Models for the Chemist.” In Comprehensive Chemometrics, Chemical and Biochemical Data Analysis, edited by 2nd Edition. Elsevier. http://hdl.handle.net/2078.1/230895.
Open access to the preprint: http://hdl.handle.net/2078.1/230335
Martin, Manon, and Bernadette Govaerts. 2020. “LiMM‐PCA: Combining ASCA+ and Linear Mixed Models to Analyse High‐dimensional Designed Data.” Journal of Chemometrics 34. https://doi.org/10.1002/cem.3232.
Open access to the preprint: http://hdl.handle.net/2078.1/219772
Guisset, Séverine, Manon Martin, and Bernadette Govaerts. 2019. “Comparison of PARAFASCA, AComDim, and AMOPLS Approaches in the Multivariate GLM Modelling of Multi-Factorial Designs.” Chemometrics and Intelligent Laboratory Systems 184: 44–63. https://doi.org/10.1016/j.chemolab.2018.11.006.
Open access to the preprint: http://hdl.handle.net/2078.1/207560
Thiel, Michel, Baptiste Féraud, and Bernadette Govaerts. 2017. “ASCA+ and APCA+: Extensions of ASCA and APCA in the Analysis of Unbalanced Multifactorial Designs.” Journal of Chemometrics 31 (6): e2895. https://doi.org/10.1002/cem.2895.
Open access to the preprint: http://hdl.handle.net/2078.1/176979
Rousseau, Réjane. 2011. “Statistical Contributrion to the Analysis of Metabonomic Data in 1H-NMR Spectroscopy.” PhD thesis, UCL - SSH/LIDAM/ISBA - Institut de Statistique, Biostatistique et Sciences Actuarielles. http://hdl.handle.net/2078.1/75532.