Latent variable multivariate regression modeling

The latent variable multivariate regression (LVMR) model is made up of two sets of variables, X and Y, both of which contain a latent variable structure plus random error. The wide applicability of this model is illustrated in this paper with several real examples. The chemometrics community has developed several empirical methods to estimate the latent structure in this model, including partial least squares regression (PLS) and principal …