Abstract
In multivariate calibration and modelling a model is built between a large data matrix containing many variables for each sample, such as a spectrum or a chromatogram, and a property of the samples, such as a given activity. Variable selection or reduction in the large matrix is required, or can be recommended, to obtain better and simpler models.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-3 |
| Number of pages | 3 |
| Journal | LC GC Europe |
| Volume | 24 |
| Issue number | 12 |
| State | Published - Dec 2011 |
ASJC Scopus subject areas
- Analytical Chemistry