Two-way arrays or matrices are often not enough to represent all the information in the data
and standard two-way analysis techniques commonly applied on matrices may fail to find …

Presence of outliers in chemical data affects all least squares models, which are extensively
used in chemometrics for data exploration and modeling. Therefore, more and more …

STATIS is an extension of principal component analysis (PCA) tailored to handle multiple
data tables that measure sets of variables collected on the same observations, or …

This review describes advances in multiway analysis during the period 2000–2005.
Multiway analysis started to take off in chemistry in the 1980s, but only in recent years has it …

Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and
shortcomings of various forms of multiblock analysis, and the relationships between them …

The present study deals with the evaluation of the electronic tongue multisensor system as
an analytical tool for the rapid assessment of taste and flavour of beer. Fifty samples of …

In this paper we present a generalization of classical multidimensional scaling called
DISTATIS which is a new method that can be used to compare algorithms when their outputs …

Background Data integration is currently one of the main challenges in the biomedical
sciences. Often different pieces of information are gathered on the same set of entities (eg …

A pair of ecological tables is made of one table containing environmental variables (in
columns) and another table containing species data (in columns). The rows of these two …

Abstract The United States Food and Drug Administration (FDA) has encouraged the
adoption of Process Analytical Technology (PAT) in the pharmaceutical industry for …