Related Tools: Difference between revisions
Jump to navigation
Jump to search
imported>Jeremy (Importing text file) |
imported>Jeremy No edit summary |
||
| (One intermediate revision by the same user not shown) | |||
| Line 1: | Line 1: | ||
:[[compressmodel]] - Remove references to unused variables from a model. | :[[compressmodel]] - Remove references to unused variables from a model. | ||
:[[correctbias]] - Adjusts a regression model for bias and slope errors. | |||
:[[fastnnls]] - Fast non-negative least squares. | :[[fastnnls]] - Fast non-negative least squares. | ||
:[[matchvars]] - Align variables of a dataset to allow prediction with a model. | :[[matchvars]] - Align variables of a dataset to allow prediction with a model. | ||
| Line 8: | Line 8: | ||
:[[plsnipal]] - NIPALS algorithm for one PLS latent variable. | :[[plsnipal]] - NIPALS algorithm for one PLS latent variable. | ||
:[[simpls]] - Partial Least Squares computational engine using SIMPLS algorithm. | :[[simpls]] - Partial Least Squares computational engine using SIMPLS algorithm. | ||
(Sub topic of [[Quantitative_Regression_Analysis|Quantitative_Regression_Analysis]]) | |||
Latest revision as of 09:29, 1 September 2010
- compressmodel - Remove references to unused variables from a model.
- correctbias - Adjusts a regression model for bias and slope errors.
- fastnnls - Fast non-negative least squares.
- matchvars - Align variables of a dataset to allow prediction with a model.
- mlrengine - Multiple Linear Regression computational engine.
- nippls - NIPALS Partial Least Squares computational engine.
- pcrengine - Principal Component Regression computational engine.
- plsnipal - NIPALS algorithm for one PLS latent variable.
- simpls - Partial Least Squares computational engine using SIMPLS algorithm.
(Sub topic of Quantitative_Regression_Analysis)