The user’s acceptance of Computer Based Assessment (CBA) Systems is examined with the help of the Computer Based Assessment Acceptance Model (CBAAM) in the two different cultures of Greece and Mexico. The study was conducted by delivering the same CBA system to students of identical courses in Greece and Mexico. The research data were analyzed using Partial Least Squares (PLS). The results indi...

Soil samples were collected from five provinces over China, including Beijing, Xinjiang, Heilongjiang, Yunnan, and Jiangsu. Heavy metal Cr, Zn, Pb and As in soils were analyzed by a portable X-ray fluorescence spectrometry (XRF). For predicating metal concentration in soils, a partial least square regression model (PLSR) was established. After cross-calibration, the correlation coefficients for...

pedomodels have become a popular topic in soil science and environmentalresearch. they are predictive functions of certain soil properties based on other easily orcheaply measured properties. the common method for fitting pedomodels is to use classicalregression analysis, based on the assumptions of data crispness and deterministic relationsamong variables. in modeling natural systems such as s...

Purpose: preliminary discussion on model prediction precision in the partial least squares regression analysis method; Method: introduce current development conditions of partial least squares regression analysis, analyze problems of traditional regression analysis method such as multiple linear regression analysis, introduce the mathematic principle and modeling method of the partial least squ...

A partial least squares regression is proposed for estimating the function-on-function model where a functional response and multiple predictors consist of random curves with quadratic interaction effects. The direct estimation usually an ill-posed problem. To overcome this difficulty, in practice, data that belong to infinite-dimensional space are generally projected into finite-dimensional ba...

People employ the function-on-function regression to model relationship between two stochastic processes. Fitting this model, widely used strategies include functional partial least squares algorithms which typically require iterative eigen-decomposition. Here we introduce a route of based upon Krylov subspace. Our can be expressed in forms equivalent each other exact arithmetic: One is non-ite...