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)|
|Number of pages||3|
|Journal||LC GC Europe|
|Publication status||Published - Jan 1 2011|
ASJC Scopus subject areas
- Analytical Chemistry