
Chemometrics plays a key role in PAT strategies. It is essential in understanding and diagnosing real-time processes, and keeping them under multivariate statistical control. This chapter will cover design of experiments, exploratory analysis, quantitative predictive modelling, classification, multivariate process monitoring and multi-block and multi-way analyses. The objective of the chapter is to describe chemometrics methods with a main focus on understanding, interpretation and evaluating the usefulness of the results.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
