Abstract
The challenge of product design with pharmaceuticals is characterized by large diversity—compounds covering broadly the chemical space need to be formulated and manufactured at a large scale for specific routes of administration. This means that designing a pharmaceutical product is a complex interplay of chemistry and physics spiced up with a careful consideration of biology and engineering aspects. A path to a successful product can be difficult to follow and related decision-making processes can be challenging to document. Part of this decision-making is an experience-based and nonlinear process resulting from a huge amount of data. This situation will be further complicated in the future by the increasing need for more personalized medicinal products. This chapter is intended to provide the reader with an overview of the applications where multivariate analysis can be encountered. Many of these specific applications will be discussed in more detail in the following chapters.
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