Analysis (PCA) and Partial Least Squares Regression (PLS), were applied to a set of active trypanocidal N … interesting regions. The PCA selected 507 descriptors and the scores plot clearly separated more active compounds from others. The …

Principal Component Analysis (PCA) and Multiple Correspondence Analysis (MCA). A more detailed country-level analysis is carried …

In this paper, we compare Principal Component Analysis (PCA) and Partial Least Squares (PLS) methods to generate … that differ substantially from those obtained with PCA, increasing the composite indices' predictive performance for the …

Analysis (PCA) algorithms. The performance of different treatments is compared in the extensive simulation study under several … typical data generating processes and recommendations are made. An application of PLS and PCA algorithms with non …

In this paper the Social Institutions and Gender Index (SIGI) is constructed with Principal Component Analysis (PCA … weighting procedures using PCA and PLS. We find that gender inequality in social institutions has significant effect on …

Principal Component Analysis (PCA) and Multiple Correspondence Analysis (MCA). A more detailed country-level analysis is carried …

In this paper the Social Institutions and Gender Index (SIGI) is constructed with Principal Component Analysis (PCA … weighting procedures using PCA and PLS. We find that gender inequality in social institutions has significant effect on …

Analysis (PCA) algorithms. The performance of different treatments is compared in the extensive simulation study under several … typical data generating processes and recommendations are made. An application of PLS and PCA algorithms with non …

In this paper, we compare Principal Component Analysis (PCA) and Partial Least Squares (PLS) methods to generate … that differ substantially from those obtained with PCA, increasing the composite indices' predictive performance for the …