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- W2188231857 abstract "Partial least squares (PLS) is a recent technique for soft modelling in industrial applications. It is a multivariate data analysis technique which can be used to relate several response (Y) variables to several explanatory (X) variables. It is particularly useful when we need to identify the underlying factors, or linear combination of the X variables, which best model the Y dependent variables. PLS can sometimes deal effectively with data sets where there are very many variables that are highly correlated and involving substantial random noise. It generalizes and combines features from principal component analysis and multiple regression. This presentation will introduce the basic PLS concepts and will also illustrate the use of the PLS approach with a case study. A partial least squares model of the productivity of information system development is constructed and its application on practical data from Hong Kong software houses is discussed." @default.
- W2188231857 created "2016-06-24" @default.
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- W2188231857 date "2006-01-01" @default.
- W2188231857 modified "2023-09-24" @default.
- W2188231857 title "LIKERT Scale Questionnaire Data Analysis via the Partial Least Squares Approach" @default.
- W2188231857 hasPublicationYear "2006" @default.
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