Four estimtion methods were considered
Four estimation methods were considered
Population Parameters were set as follows:
From the combination of above parameters, 32 datasets were simulated with 5 replication of each, i.e. 160 datasets with 5 of them having similar population properties.
simrel-m: A versatile tool for simulating multi-response linear model data
It is an extension of
simrel (Sæbø, Almøy, & Helland, 2015) r-package for simulating multi-response data
Cook, R., Helland, I., & Su, Z. (2013). Envelopes and partial least squares regression. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 75(5), 851–877.
Helland, I. S., Sæbø, S., & Tjelmeland. (2012). Near optimal prediction from relevant components. Scandinavian Journal of Statistics, 39(4), 695–713.
Sæbø, S., Almøy, T., & Helland, I. S. (2015). Simrel—A versatile tool for linear model data simulation based on the concept of a relevant subspace and relevant predictors. Chemometrics and Intelligent Laboratory Systems, 146, 128–135.