An empirical study of PLAD regression using the bootstrap
An analogue of partial least squares (PLS) linear regression is considered for the least absolute deviations technique, called PLAD. The authors develop bootstrap confidence intervals for the regression coefficients and a bootstrap estimate for the prediction error. Results of simulations and applications to the analysis of near infrared spectra are presented.
partial least absolute deviation regression
scientific article; zbMATH DE number 5697292