| MULTIVARIATE RESPONSE SURFACE MODELLING BY PRINCIPAL COMPONENTS ANALYSIS |
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| 作者姓名： | N.BRATCHELL |
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| 作者单位： | AFRC Institute |
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| 基金项目： | Present address:AFRC Institute of Food Research-Reading Laboratory, Shinfield, Reading, RG2 9AT, U.K. |
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| 摘 要： | Analysis of multivariate response data by modelling the principal components of the response has beenapplied to two sets of data. In both cases principal components analysis revealed the relationships amongthe response variables and exploited them to simplify the problem of modelling and optimizing themultivariate response. The models and optima obtained from the principal components comparedfavourably with the individual models and simultaneous optima.
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MULTIVARIATE RESPONSE SURFACE MODELLING BY PRINCIPAL COMPONENTS ANALYSIS |
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| N.BRATCHELL.MULTIVARIATE RESPONSE SURFACE MODELLING BY PRINCIPAL COMPONENTS ANALYSIS[J].Journal of Geographical Sciences,1989(3). |
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| Authors: | N BRATCHELL AFRC Institute of Food Research - Bristol Laboratory Langfor Bristol BS DY UK |
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| Abstract: | Analysis of multivariate response data by modelling the principal components of the response has been applied to two sets of data. In both cases principal components analysis revealed the relationships among the response variables and exploited them to simplify the problem of modelling and optimizing the multivariate response. The models and optima obtained from the principal components compared favourably with the individual models and simultaneous optima. |
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| Keywords: | Response surface methodology Principal components analysis Optimization |
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