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- W2056985991 abstract "Researchers and analysts now have access to increasingly large data sets. This article outlines some of the problems of dealing with a large number of variables and explains some of the techniques that can be used to reduce the number of available indicators to a more manageable size. This can be helpful in analysing the data or in modelling and forecasting work." @default.
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- W2056985991 date "2007-09-01" @default.
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- W2056985991 title "Methods explained: Data reduction and model selection techniques" @default.
- W2056985991 doi "https://doi.org/10.1057/palgrave.elmr.1410141" @default.
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