Pls regression is a recent technique that generalizes and combines features from principal component analysis and multiple regression. It is particularly useful when we need to predict a set of dependent variables from a (very) large set of independent variables (i.e., predictors). It originated in the social sciences (specifically economy, Herman Wold 1966) but became popular first in chemomet...

Model performance of the partial least squares method (PLS) alone and bagging-PLS was investigated in online near-infrared (NIR) sensor monitoring of pilot-scale extraction process in Fructus aurantii. High-performance liquid chromatography (HPLC) was used as a reference method to identify the active pharmaceutical ingredients: naringin, hesperidin and neohesperidin. Several preprocessing metho...

The payment system in Indonesia is transforming from making payments cash to non-cash. Non-cash can be made with various applications, one of which the OVO application. are less loved by many people, this due concerns about security or ease and effectiveness non-cash applications. Therefore, study was conducted analyze factors that influence student interest Gorontalo province transacting using...

Genetic algorithm and partial least square (GA-PLS) and kernel PLS (GA-KPLS) techniques were used to investigate the correlation between retention indices (RI) and descriptors for 117 diverse compounds in essential oils from 5 Pimpinella species gathered from central Turkey which were obtained by gas chromatography and gas chromatography-mass spectrometry. The square correlation coefficient lea...

For the purpose of exploring and modelling the relationships between a dataset and several datasets, multiblock Partial Least Squares is a widely-used regression technique. It is designed as an extension of PLS which aims at linking two datasets. In the same vein, we propose an extension of Redundancy Analysis to the multiblock setting. We show that PLS and multiblock Redundancy Analysis aim at...

results the results revealed that metal urine concentration in welders was higher than controls but only the difference in chromium concentration was significant (p < 0.002). in the range of metals exposure, induction of oxidative stress for exposed group was observed by increase in urine mda (11.17 ± 4.23 and 4.83 ± 1.82 mm in welders and controls, respectively; p < 0.01). information of the m...

Partial least square (PLS) methods (also sometimes called projection to latent structures) relate the information present in two data tables that collect measurements on the same set of observations. PLS methods proceed by deriving latent variables which are (optimal) linear combinations of the variables of a data table. When the goal is to find the shared information between two tables, the ap...

The main objective of this study is to examine gender differences and the adoption of technology in higher education students. TAM model is the tool used to measure the acceptance and use of e-learning of the respondents. We used Partial Least Squares (PLS), specifically, the PLS multi-group analysis was used to compare differences between groups. In summary, results show that students’ behavio...

attempts to obtain experimental values for the kinetic parameters of phenanthridine oxidation by guinea pig or rabbit liver aldehyde oxidase using common spectrophotometric methods have not been successful due to a lower limit of detection. in the present study, a new spectrofluorimetric assay in combination with a multivariate calibration method for enzymatic kinetic study of aldehyde oxidase ...