Abstract: While broadband dielectric spectroscopy enables label-free analysis of biological and chemical materials, extracting multiple concentrations from the data has remained a challenge. This work ...
ABSTRACT: The study examined the effectiveness of financial linkages on SMEs’ access to debt finance. The study was motivated by the importance of SMEs in economic development and employment creation ...
An R package implementing a version of the Supervised Principal Component regression (SPCR, Bair et al., 2006) that allows for any measurement level of the dependent and independent variables. This ...
These procedures are useful when there is a high degree of multicollinearity among variables and for the PLS procedures in this context as well as when there are fewer observations than variables- ...
One important confounder in genome-wide association studies (GWASs) is population genetic structure, which may generate spurious associations if not properly accounted for. This may ultimately result ...
Background: Increasing numbers of variables in surveys and administrative databases are created. Principal component analysis (PCA) is important to summarize data or reduce dimensionality. However, ...
Principal component regression (PCR) has been widely used for quality estimation in industrial processes. However, the traditional PCR method is restricted in linear processes. Although several ...
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