An abundance of methods exist to regress a y variable on a set of x variables collected in a matrix X. In the chemical sciences a growing number of problems translate into arrays of measurements X and Y, where X and Y are three-way arrays or multiway arrays. In this paper a general model is describe
Multiway multiblock component and covariates regression models
✍ Scribed by Age K. Smilde; Johan A. Westerhuis; Ricard Boqué
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 220 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0886-9383
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Two cross-validation methods are presented for multiway component models. They are used for choosing the numbers of components to use in Tucker3 models describing three-way data. The approach is general and can easily be adapted to other three-way and multiway models. A model is estimated after leav
Bootstrap methods can be used as an alternative for cross-validation in regression procedures such as principal component regression (PCR). Several bootstrap methods for the estimation of prediction errors and confidence intervals are presented. It is shown that bootstrap error estimates are consist
## Abstract An important problem in agronomy is the study of longitudinal data on the growth curve of the weight of cattle through time, possibly taking into account the effect of other explanatory variables such as treatments and time. In this paper, a Bayesian approach for analysing longitudinal