Modern dairy factories produce thousands of cheese blocks per day. Cheese quality is partly
defined by the concentration of dry matter and fat. In this study, we evaluated three different …

In recent years, vibrational spectroscopy has been used to predict detailed sample
composition like protein and fatty acid profiles. This study shows that fatty acid predictions …

Problems concerning covariance among independent variables are well understood and
dealt with by inverse regression methods like partial least squares regression. However …

The selection of lots of raw materials to be used in tobacco products' blends, especially for
Premium cigars, holds a high degree of subjectivity. To overcome this, it is proposed a …

In analytical chemistry spectroscopy is attractive for high-throughput quantification, which
often relies on inverse regression, like partial least squares regression. Due to a multivariate …

This thesis investigates, with an actor-network-theory framework, how small businesses
implements new technology by using a case study approach. This is something that until …