Linear regression analysis of point attributes with multiple grids. Details of the regression/correlation analysis will be saved to a table. The regression function is used to create a new grid with regression based values. The multiple regression analysis uses a forward selection procedure.
| | Name | Type | Identifier | Description | Constraints |
| Input | Predictors | Grid list (input) | PREDICTORS | - | - |
| Points | Shapes (input) | POINTS | - | - |
| Output | Details: Coefficients (*) | Table (optional output) | INFO_COEFF | - | - |
| Details: Model (*) | Table (optional output) | INFO_MODEL | - | - |
| Details: Steps (*) | Table (optional output) | INFO_STEPS | - | - |
| Residuals (*) | Shapes (optional output) | RESIDUALS | - | - |
| Regression | Grid (output) | REGRESSION | regression model applied to predictor grids | - |
| Regression with Residual Correction (*) | Grid (optional output) | REGRESCORR | regression model applied to predictor grids with interpolated residuals added | - |
| Options | Grid system | Grid system | PARAMETERS_GRID_SYSTEM | - | - |
| Dependent Variable | Table field | ATTRIBUTE | - | - |
| Resampling | Choice | RESAMPLING | - | Available Choices: [0] Nearest Neighbour [1] Bilinear Interpolation [2] Bicubic Spline Interpolation [3] B-Spline Interpolation Default: 3 |
| Include X Coordinate | Boolean | COORD_X | - | Default: 0 |
| Include Y Coordinate | Boolean | COORD_Y | - | Default: 0 |
| Intercept | Boolean | INTERCEPT | - | Default: 1 |
| Method | Choice | METHOD | - | Available Choices: [0] include all [1] forward [2] backward [3] stepwise Default: 3 |
| Significance Level | Floating point | P_VALUE | Significance level (aka p-value) as threshold for automated predictor selection, given as percentage | Minimum: 0.000000 Maximum: 100.000000 Default: 5.000000 |
| Cross Validation | Choice | CROSSVAL | - | Available Choices: [0] none [1] leave one out [2] 2-fold [3] k-fold Default: 0 |
| Cross Validation Subsamples | Integer | CROSSVAL_K | number of subsamples for k-fold cross validation | Minimum: 0 Default: 10 |
| Residual Interpolation | Choice | RESIDUAL_COR | - | Available Choices: [0] Multilevel B-Spline Interpolation [1] Inverse Distance Weighted Default: 0 |
| (*) optional |