Application of Models to New Data: Difference between revisions
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In most cases, the function used to create a model (e.g. PCA, PLS, etc) is also used to make a prediction with the created model. See the function used for more information on this. In addition, these utilities may be of use for certain applications. | In most cases, the function used to create a model (e.g. PCA, PLS, etc) is also used to make a prediction with the created model. See the function used for more information on this. In addition, these utilities may be of use for certain applications. | ||
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:[[regcon]] - Converts regression model to y = ax + b form. | :[[regcon]] - Converts regression model to y = ax + b form. | ||
:[[rinverse]] - Calculate pseudo inverse for PLS, PCR and RR models. | :[[rinverse]] - Calculate pseudo inverse for PLS, PCR and RR models. | ||
(Sub topic of [[Quantitative_Regression_Analysis|Quantitative_Regression_Analysis]]) | |||
Latest revision as of 15:40, 2 September 2008
In most cases, the function used to create a model (e.g. PCA, PLS, etc) is also used to make a prediction with the created model. See the function used for more information on this. In addition, these utilities may be of use for certain applications.
- modelselector - Create or apply a model selector model.
- compressmodel - Remove references to unused variables from a model.
- matchvars - Align variables of a dataset to allow prediction with a model.
- modlpred - Predictions using standard model structures.
- regcon - Converts regression model to y = ax + b form.
- rinverse - Calculate pseudo inverse for PLS, PCR and RR models.
(Sub topic of Quantitative_Regression_Analysis)