"Are you doing time series modeling or cross-sectional modeling? What's the dependent variable?
If you are doing time series analysis (example: using weather over time to predict today's crop yield), then you want to create…"
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Mauricio G. posted a blog post
Variable Reduction and significance
Hi everyone !, greetings from southamerica !, at the moment I`m working with 70 variables, (weather), there is multicolinearity in many of them....I d like to know if there is a way of creating 1 variable (from every 12) that resume the info contained in the rest. I´ve done PCA, Cluster, GWR (in GIS) I`ve tried with glm (SAS) and Stepwise (forward and backward) and there is no way I can find relevant variables over dependant variable.Thanks a lot !See More
Profile Information
- Field of Expertise:
- Predictive Modeling, Biostatistics, Other
- Years of Experience in Analytical Role:
- 6
- Professional Status:
- Other
- Interests:
- Other
- Industry:
- Genetic Research
Mauricio G.'s Blog
Variable Reduction and significance
Hi everyone !, greetings from southamerica !, at the moment I`m working with 70 variables, (weather), there is multicolinearity in many of them....I d like to know if there is a way of creating 1 variable (from every 12) that resume the info contained in the rest. I´ve done PCA, Cluster, GWR (in GIS) I`ve tried with glm (SAS) and Stepwise (forward and backward) and there is no way I can find relevant variables over dependant variable.
Thanks a lot !
Posted on October 30, 2012 at 6:15am — 2 Comments
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