QGIS/python/plugins/processing/algs/saga/description/MultipleRegressionAnalysis(PointsandPredictorGrids).txt
volaya c5371b64cb added new SAGA descriptions
(cherry picked from commit a3bb3f13902638ee38f85c25c57d68b34b33bfbc)
2017-07-25 14:01:06 +03:00

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Multiple Regression Analysis (Points and Predictor Grids)
statistics_regression
ParameterMultipleInput|PREDICTORS|Predictors|3|False
ParameterVector|POINTS|Points|-1|False
ParameterTable|ATTRIBUTE|Dependent Variable|False
ParameterTable|INFO_COEFF|Details: Coefficients|True
ParameterTable|INFO_MODEL|Details: Model|True
ParameterTable|INFO_STEPS|Details: Steps|True
OutputVector|RESIDUALS|Residuals
OutputRaster|REGRESSION|Regression
OutputRaster|REGRESCORR|Regression with Residual Correction
ParameterSelection|RESAMPLING|Resampling|[0] Nearest Neighbour;[1] Bilinear Interpolation;[2] Bicubic Spline Interpolation;[3] B-Spline Interpolation| 3
ParameterBoolean|COORD_X|Include X Coordinate|False
ParameterBoolean|COORD_Y|Include Y Coordinate|False
ParameterBoolean|INTERCEPT|Intercept|True
ParameterSelection|METHOD|Method|[0] include all;[1] forward;[2] backward;[3] stepwise| 3
ParameterNumber|P_VALUE|Significance Level| 0.000000| 100.000000| 5.000000
ParameterSelection|CROSSVAL|Cross Validation|[0] none;[1] leave one out;[2] 2-fold;[3] k-fold| 0
ParameterNumber|CROSSVAL_K|Cross Validation Subsamples| 2|None| 10
ParameterSelection|RESIDUAL_COR|Residual Interpolation|[0] Multleve B-Spline Interpolation;[1] Inverse Distance Weighted| 0