PRINCIPAL COMPONENTS TO OVERCOME MULTICOLLINEARITY PROBLEM
The impact of ignoring collinearity among predictors is well documented in a statistical literature. An attempt has been made in this study to document application of Principal components as remedial solution to this problem. Using a sample of six hundred participants, linear regression model was fi...
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| Format: | Article |
| Language: | English |
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University of Oradea Publishing House
2019-03-01
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| Series: | Oradea Journal of Business and Economics |
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| Online Access: | http://ojbe.steconomiceuoradea.ro/wp-content/uploads/2019/03/OJBE_vol-41_79-91.pdf |