نتایج جستجو برای: Partial Least Squares Technique

تعداد نتایج: 1175238  

Journal: :iranian journal of pharmaceutical sciences 0
kinjal r patel shri bm shah college of pharmaceutical education and research, college campus, modasa, 383315, gujarat, india. laxman m prajapati shri bm shah college of pharmaceutical education and research, college campus, modasa, 383315, gujarat, india. amit k joshi shri bm shah college of pharmaceutical education and research, college campus, modasa, 383315, gujarat, india. mahammadali l kharodiya shri bm shah college of pharmaceutical education and research, college campus, modasa, 383315, gujarat, india. jimish r patel shri bm shah college of pharmaceutical education and research, college campus, modasa, 383315, gujarat, india.

chemometric techniques in spectral analysis have gained importance in the quality control of  the drugs mixtures and pharmaceutical formulations containing two or more drugs with overlapping spectra. since theophylline and etophylline have common chromophore, they cannot be analyzed simultaneously using conventional uv methods. simultaneous spectrophotometric determination of etophylline and th...

Journal: :Journal of Computational and Applied Mathematics 1990

Journal: :Electronic Journal of Statistics 2012

Journal: :Statistics in Medicine 2021

Journal: :Methods in molecular biology 2013
Hervé Abdi Lynne J Williams

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...

2015
Pratyush Nidhi Sharma Marko Sarstedt Galit Shmueli Kevin H. Kim

Predictive model selection metrics are used to select models with the highest out-of-sample predictive power among a set of models. R 2 and related metrics, which are heavily used in partial least squares path modeling, are often mistaken as predictive metrics. We introduce information theoretic model selection criteria that are designed for out-of-sample prediction and which do not require cre...

Journal: :Journal of Computational and Graphical Statistics 2005

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