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nyalldawsonnyalldawson
committedFeb 3, 2019
[processing][saga] Fix definition of Multiple regression points/grids alg
Fixes #21146 (cherry picked from commit 4f8e231)
·
final-3_4_15final-3_4_5
1 parent f5ca7b7 commit 1916a7f

22 files changed

+302
-7
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‎python/plugins/processing/algs/saga/description/MultipleRegressionAnalysis(PointsandPredictorGrids).txt

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@@ -2,13 +2,13 @@ Multiple Regression Analysis (Points and Predictor Grids)
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statistics_regression
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QgsProcessingParameterMultipleLayers|PREDICTORS|Predictors|3|None|False
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QgsProcessingParameterFeatureSource|POINTS|Points|-1|None|False
5-
QgsProcessingParameterFeatureSource|ATTRIBUTE|Dependent Variable|5|None|False
6-
QgsProcessingParameterFeatureSource|INFO_COEFF|Details: Coefficients|5|None|True
7-
QgsProcessingParameterFeatureSource|INFO_MODEL|Details: Model|5|None|True
8-
QgsProcessingParameterFeatureSource|INFO_STEPS|Details: Steps|5|None|True
9-
QgsProcessingParameterVectorDestination|RESIDUALS|Residuals
5+
QgsProcessingParameterField|ATTRIBUTE|Dependent Variable|None|POINTS|-1|False|False
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QgsProcessingParameterVectorDestination|INFO_COEFF|Details: Coefficients|5|None|True|True
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QgsProcessingParameterVectorDestination|INFO_MODEL|Details: Model|5|None|True|True
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QgsProcessingParameterVectorDestination|INFO_STEPS|Details: Steps|5|None|True|True
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QgsProcessingParameterVectorDestination|RESIDUALS|Residuals|-1|None|True|True
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QgsProcessingParameterRasterDestination|REGRESSION|Regression
11-
QgsProcessingParameterRasterDestination|REGRESCORR|Regression with Residual Correction
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QgsProcessingParameterRasterDestination|REGRESCORR|Regression with Residual Correction|None|True|True
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QgsProcessingParameterEnum|RESAMPLING|Resampling|[0] Nearest Neighbour;[1] Bilinear Interpolation;[2] Bicubic Spline Interpolation;[3] B-Spline Interpolation|False|3
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QgsProcessingParameterBoolean|COORD_X|Include X Coordinate|False
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QgsProcessingParameterBoolean|COORD_Y|Include Y Coordinate|False
@@ -17,4 +17,4 @@ QgsProcessingParameterEnum|METHOD|Method|[0] include all;[1] forward;[2] backwar
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QgsProcessingParameterNumber|P_VALUE|Significance Level|QgsProcessingParameterNumber.Double|5.000000|False|0.000000|100.000000
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QgsProcessingParameterEnum|CROSSVAL|Cross Validation|[0] none;[1] leave one out;[2] 2-fold;[3] k-fold|False|0
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QgsProcessingParameterNumber|CROSSVAL_K|Cross Validation Subsamples|QgsProcessingParameterNumber.Integer|10|False|2|None
20-
QgsProcessingParameterEnum|RESIDUAL_COR|Residual Interpolation|[0] Multleve B-Spline Interpolation;[1] Inverse Distance Weighted|False|0
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QgsProcessingParameterEnum|RESIDUAL_COR|Residual Interpolation|[0] Multleve B-Spline Interpolation;[1] Inverse Distance Weighted|False|0

‎python/plugins/processing/tests/testdata/custom/saga/points_regression.cpg

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UTF-8

‎python/plugins/processing/tests/testdata/custom/saga/points_regression.dbf

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‎python/plugins/processing/tests/testdata/custom/saga/points_regression.prj

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GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]]

‎python/plugins/processing/tests/testdata/custom/saga/points_regression.qpj

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GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]

‎python/plugins/processing/tests/testdata/custom/saga/points_regression.shp

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‎python/plugins/processing/tests/testdata/custom/saga/points_regression.shx

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‎python/plugins/processing/tests/testdata/expected/saga/multiple_regression_points_grids_coef.mtab

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<?xml version="1.0" encoding="UTF-8"?>
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<SAGA_METADATA>
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<HISTORY saga-version="2.3.1">
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<MODULE library="statistics_regression" id="1" name="Multiple Regression Analysis (Points and Predictor Grids)">
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<OPTION type="grid_system" id="PARAMETERS_GRID_SYSTEM" name="Grid system">
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<CELLSIZE>0.0001</CELLSIZE>
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<XMIN>18.666347944200002</XMIN>
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<XMAX>18.7035479442</XMAX>
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<YMIN>45.7767514376</YMIN>
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<YMAX>45.8116514376</YMAX>
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</OPTION>
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<OPTION type="table_field" id="ATTRIBUTE" name="Dependent Variable" index="1">rvalue_1</OPTION>
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<OPTION type="choice" id="RESAMPLING" name="Resampling" index="3">B-Spline Interpolation</OPTION>
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<OPTION type="boolean" id="COORD_X" name="Include X Coordinate">FALSE</OPTION>
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<OPTION type="boolean" id="COORD_Y" name="Include Y Coordinate">FALSE</OPTION>
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<OPTION type="boolean" id="INTERCEPT" name="Intercept">TRUE</OPTION>
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<OPTION type="choice" id="METHOD" name="Method" index="3">stepwise</OPTION>
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<OPTION type="double" id="P_VALUE" name="Significance Level">5.000000</OPTION>
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<OPTION type="choice" id="CROSSVAL" name="Cross Validation" index="0">none</OPTION>
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<OPTION type="choice" id="RESIDUAL_COR" name="Residual Interpolation" index="0">Multleve B-Spline Interpolation</OPTION>
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<INPUT_LIST type="grid_list" id="PREDICTORS" name="Predictors" system="PARAMETERS_GRID_SYSTEM">
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<dem type="grid_list" id="PREDICTORS" name="Predictors" system="PARAMETERS_GRID_SYSTEM">
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<FILE>/tmp/processing_158a4797a951407ca275f957a94862a4/e678b6f2c3484cf9b60adafa5e69b1d6/dem.sgrd</FILE>
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</dem>
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</INPUT_LIST>
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<INPUT type="shapes" id="POINTS" name="Points">
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<FILE>/tmp/processing_158a4797a951407ca275f957a94862a4/f2045b740e8e466293cb61f78c148a83/POINTS.shp</FILE>
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</INPUT>
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<OUTPUT type="table" id="INFO_COEFF" name="Details: Coefficients">MLRA Coefficients</OUTPUT>
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</MODULE>
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</HISTORY>
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<SOURCE>
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<FILE>/home/nyall/dev/QGIS/python/plugins/processing/tests/testdata/expected/saga/multiple_regression_points_grids_coef.dbf</FILE>
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<DATABASE>
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<FIELDS>
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<FIELD TYPE="INTEGER">VAR_ID</FIELD>
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<FIELD TYPE="STRING">VAR_NAME</FIELD>
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<FIELD TYPE="DOUBLE">REGCOEFF</FIELD>
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<FIELD TYPE="DOUBLE">R</FIELD>
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<FIELD TYPE="DOUBLE">R2</FIELD>
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<FIELD TYPE="DOUBLE">R2_ADJ</FIELD>
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<FIELD TYPE="DOUBLE">STD_ERROR</FIELD>
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<FIELD TYPE="DOUBLE">T</FIELD>
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<FIELD TYPE="DOUBLE">SIG</FIELD>
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<FIELD TYPE="DOUBLE">P</FIELD>
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</FIELDS>
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</DATABASE>
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<PROJECTION></PROJECTION>
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</SOURCE>
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<DESCRIPTION></DESCRIPTION>
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</SAGA_METADATA>

‎python/plugins/processing/tests/testdata/expected/saga/multiple_regression_points_grids_coef.prj

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GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]

‎python/plugins/processing/tests/testdata/expected/saga/multiple_regression_points_grids_model.mtab

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<?xml version="1.0" encoding="UTF-8"?>
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<SAGA_METADATA>
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<HISTORY saga-version="2.3.1">
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<MODULE library="statistics_regression" id="1" name="Multiple Regression Analysis (Points and Predictor Grids)">
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<OPTION type="grid_system" id="PARAMETERS_GRID_SYSTEM" name="Grid system">
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<CELLSIZE>0.0001</CELLSIZE>
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<XMIN>18.666347944200002</XMIN>
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<XMAX>18.7035479442</XMAX>
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<YMIN>45.7767514376</YMIN>
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<YMAX>45.8116514376</YMAX>
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</OPTION>
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<OPTION type="table_field" id="ATTRIBUTE" name="Dependent Variable" index="1">rvalue_1</OPTION>
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<OPTION type="choice" id="RESAMPLING" name="Resampling" index="3">B-Spline Interpolation</OPTION>
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<OPTION type="boolean" id="COORD_X" name="Include X Coordinate">FALSE</OPTION>
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<OPTION type="boolean" id="COORD_Y" name="Include Y Coordinate">FALSE</OPTION>
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<OPTION type="boolean" id="INTERCEPT" name="Intercept">TRUE</OPTION>
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<OPTION type="choice" id="METHOD" name="Method" index="3">stepwise</OPTION>
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<OPTION type="double" id="P_VALUE" name="Significance Level">5.000000</OPTION>
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<OPTION type="choice" id="CROSSVAL" name="Cross Validation" index="0">none</OPTION>
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<OPTION type="choice" id="RESIDUAL_COR" name="Residual Interpolation" index="0">Multleve B-Spline Interpolation</OPTION>
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<INPUT_LIST type="grid_list" id="PREDICTORS" name="Predictors" system="PARAMETERS_GRID_SYSTEM">
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<dem type="grid_list" id="PREDICTORS" name="Predictors" system="PARAMETERS_GRID_SYSTEM">
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<FILE>/tmp/processing_158a4797a951407ca275f957a94862a4/e678b6f2c3484cf9b60adafa5e69b1d6/dem.sgrd</FILE>
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</dem>
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</INPUT_LIST>
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<INPUT type="shapes" id="POINTS" name="Points">
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<FILE>/tmp/processing_158a4797a951407ca275f957a94862a4/f2045b740e8e466293cb61f78c148a83/POINTS.shp</FILE>
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</INPUT>
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<OUTPUT type="table" id="INFO_MODEL" name="Details: Model">MLRA Model</OUTPUT>
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</MODULE>
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</HISTORY>
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<SOURCE>
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<FILE>/home/nyall/dev/QGIS/python/plugins/processing/tests/testdata/expected/saga/multiple_regression_points_grids_model.dbf</FILE>
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<DATABASE>
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<FIELDS>
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<FIELD TYPE="STRING">PARAMETER</FIELD>
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<FIELD TYPE="DOUBLE">VALUE</FIELD>
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</FIELDS>
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</DATABASE>
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<PROJECTION></PROJECTION>
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</SOURCE>
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<DESCRIPTION></DESCRIPTION>
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</SAGA_METADATA>

‎python/plugins/processing/tests/testdata/expected/saga/multiple_regression_points_grids_model.prj

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GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]

‎python/plugins/processing/tests/testdata/expected/saga/multiple_regression_points_grids_res.mshp

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<?xml version="1.0" encoding="UTF-8"?>
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<SAGA_METADATA>
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<HISTORY saga-version="2.3.1">
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<MODULE library="statistics_regression" id="1" name="Multiple Regression Analysis (Points and Predictor Grids)">
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<OPTION type="grid_system" id="PARAMETERS_GRID_SYSTEM" name="Grid system">
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<CELLSIZE>0.0001</CELLSIZE>
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<XMIN>18.666347944200002</XMIN>
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<XMAX>18.7035479442</XMAX>
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<YMIN>45.7767514376</YMIN>
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<YMAX>45.8116514376</YMAX>
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</OPTION>
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<OPTION type="table_field" id="ATTRIBUTE" name="Dependent Variable" index="1">rvalue_1</OPTION>
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<OPTION type="choice" id="RESAMPLING" name="Resampling" index="3">B-Spline Interpolation</OPTION>
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<OPTION type="boolean" id="COORD_X" name="Include X Coordinate">FALSE</OPTION>
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<OPTION type="boolean" id="COORD_Y" name="Include Y Coordinate">FALSE</OPTION>
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<OPTION type="boolean" id="INTERCEPT" name="Intercept">TRUE</OPTION>
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<OPTION type="choice" id="METHOD" name="Method" index="3">stepwise</OPTION>
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<OPTION type="double" id="P_VALUE" name="Significance Level">5.000000</OPTION>
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<OPTION type="choice" id="CROSSVAL" name="Cross Validation" index="0">none</OPTION>
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<OPTION type="choice" id="RESIDUAL_COR" name="Residual Interpolation" index="0">Multleve B-Spline Interpolation</OPTION>
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<INPUT_LIST type="grid_list" id="PREDICTORS" name="Predictors" system="PARAMETERS_GRID_SYSTEM">
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<dem type="grid_list" id="PREDICTORS" name="Predictors" system="PARAMETERS_GRID_SYSTEM">
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<FILE>/tmp/processing_158a4797a951407ca275f957a94862a4/e678b6f2c3484cf9b60adafa5e69b1d6/dem.sgrd</FILE>
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</dem>
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</INPUT_LIST>
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<INPUT type="shapes" id="POINTS" name="Points">
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<FILE>/tmp/processing_158a4797a951407ca275f957a94862a4/f2045b740e8e466293cb61f78c148a83/POINTS.shp</FILE>
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</INPUT>
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<OUTPUT type="shapes" id="RESIDUALS" name="Residuals">POINTS.rvalue_1 [Residuals]</OUTPUT>
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</MODULE>
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</HISTORY>
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<SOURCE>
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<FILE></FILE>
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<DATABASE>
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<FIELDS>
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<FIELD TYPE="DOUBLE">rvalue_1</FIELD>
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<FIELD TYPE="DOUBLE">TREND</FIELD>
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<FIELD TYPE="DOUBLE">RESIDUAL</FIELD>
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</FIELDS>
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</DATABASE>
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<PROJECTION></PROJECTION>
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</SOURCE>
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<DESCRIPTION></DESCRIPTION>
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</SAGA_METADATA>

‎python/plugins/processing/tests/testdata/expected/saga/multiple_regression_points_grids_res.prj

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GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]

‎python/plugins/processing/tests/testdata/expected/saga/multiple_regression_points_grids_steps.mtab

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<?xml version="1.0" encoding="UTF-8"?>
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<SAGA_METADATA>
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<HISTORY saga-version="2.3.1">
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<MODULE library="statistics_regression" id="1" name="Multiple Regression Analysis (Points and Predictor Grids)">
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<OPTION type="grid_system" id="PARAMETERS_GRID_SYSTEM" name="Grid system">
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<CELLSIZE>0.0001</CELLSIZE>
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<XMIN>18.666347944200002</XMIN>
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<XMAX>18.7035479442</XMAX>
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<YMIN>45.7767514376</YMIN>
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<YMAX>45.8116514376</YMAX>
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</OPTION>
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<OPTION type="table_field" id="ATTRIBUTE" name="Dependent Variable" index="1">rvalue_1</OPTION>
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<OPTION type="choice" id="RESAMPLING" name="Resampling" index="3">B-Spline Interpolation</OPTION>
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<OPTION type="boolean" id="COORD_X" name="Include X Coordinate">FALSE</OPTION>
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<OPTION type="boolean" id="COORD_Y" name="Include Y Coordinate">FALSE</OPTION>
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<OPTION type="boolean" id="INTERCEPT" name="Intercept">TRUE</OPTION>
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<OPTION type="choice" id="METHOD" name="Method" index="3">stepwise</OPTION>
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<OPTION type="double" id="P_VALUE" name="Significance Level">5.000000</OPTION>
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<OPTION type="choice" id="CROSSVAL" name="Cross Validation" index="0">none</OPTION>
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<OPTION type="choice" id="RESIDUAL_COR" name="Residual Interpolation" index="0">Multleve B-Spline Interpolation</OPTION>
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<INPUT_LIST type="grid_list" id="PREDICTORS" name="Predictors" system="PARAMETERS_GRID_SYSTEM">
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<dem type="grid_list" id="PREDICTORS" name="Predictors" system="PARAMETERS_GRID_SYSTEM">
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<FILE>/tmp/processing_158a4797a951407ca275f957a94862a4/e678b6f2c3484cf9b60adafa5e69b1d6/dem.sgrd</FILE>
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</dem>
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</INPUT_LIST>
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<INPUT type="shapes" id="POINTS" name="Points">
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<FILE>/tmp/processing_158a4797a951407ca275f957a94862a4/f2045b740e8e466293cb61f78c148a83/POINTS.shp</FILE>
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</INPUT>
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<OUTPUT type="table" id="INFO_STEPS" name="Details: Steps">MLRA Steps</OUTPUT>
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</MODULE>
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</HISTORY>
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<SOURCE>
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<FILE>/home/nyall/dev/QGIS/python/plugins/processing/tests/testdata/expected/saga/multiple_regression_points_grids_steps.dbf</FILE>
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<DATABASE>
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<FIELDS>
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<FIELD TYPE="INTEGER">MODEL</FIELD>
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<FIELD TYPE="DOUBLE">R</FIELD>
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<FIELD TYPE="DOUBLE">R2</FIELD>
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<FIELD TYPE="DOUBLE">R2_ADJ</FIELD>
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<FIELD TYPE="DOUBLE">STD_ERROR</FIELD>
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<FIELD TYPE="DOUBLE">SSR</FIELD>
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<FIELD TYPE="DOUBLE">SSE</FIELD>
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<FIELD TYPE="DOUBLE">MSR</FIELD>
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<FIELD TYPE="DOUBLE">MSE</FIELD>
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<FIELD TYPE="DOUBLE">DF</FIELD>
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<FIELD TYPE="DOUBLE">F</FIELD>
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<FIELD TYPE="DOUBLE">SIG</FIELD>
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<FIELD TYPE="DOUBLE">VAR_F</FIELD>
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<FIELD TYPE="DOUBLE">VAR_SIG</FIELD>
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<FIELD TYPE="STRING">DIR</FIELD>
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<FIELD TYPE="STRING">VARIABLE</FIELD>
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</FIELDS>
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</DATABASE>
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<PROJECTION></PROJECTION>
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</SOURCE>
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<DESCRIPTION></DESCRIPTION>
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</SAGA_METADATA>

‎python/plugins/processing/tests/testdata/expected/saga/multiple_regression_points_grids_steps.prj

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GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]

‎python/plugins/processing/tests/testdata/saga_algorithm_tests.yaml

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CLASSES:
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hash: deeb8769979916ab544a824cd5400d4a4207e7df37fbeaaa6e4830af
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type: rasterhash
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- algorithm: saga:multipleregressionanalysispointsandpredictorgrids
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name: Multi regression points predictor grids
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params:
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ATTRIBUTE: rvalue_1
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COORD_X: false
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COORD_Y: false
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CROSSVAL: 0
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CROSSVAL_K: 10
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INTERCEPT: true
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METHOD: 3
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POINTS:
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name: custom/saga/points_regression.shp
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type: vector
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PREDICTORS:
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params:
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- name: dem.tif
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type: raster
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type: multi
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P_VALUE: 5.0
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RESAMPLING: 3
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RESIDUAL_COR: 0
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results:
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INFO_COEFF:
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name: expected/saga/multiple_regression_points_grids_coef.dbf
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type: vector
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compare:
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fields:
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R:
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precision: 2
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R2:
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precision: 2
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R2_ADJ:
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precision: 2
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STD_ERROR:
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precision: 2
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T:
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precision: 2
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SIG:
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precision: 6
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P:
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precision: 6
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INFO_MODEL:
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name: expected/saga/multiple_regression_points_grids_model.dbf
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type: vector
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compare:
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fields:
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VALUE:
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precision: 2
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INFO_STEPS:
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name: expected/saga/multiple_regression_points_grids_steps.dbf
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type: vector
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compare:
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fields:
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R:
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precision: 2
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R2:
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precision: 2
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R2_ADJ:
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precision: 2
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STD_ERROR:
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precision: 2
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SSR:
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precision: 2
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SSE:
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precision: 2
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MSR:
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precision: 2
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MSE:
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precision: 2
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F:
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precision: 2
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SIG:
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precision: 6
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VAR_F:
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precision: 2
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VAR_SIG:
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precision: 6
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REGRESCORR:
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hash: d70078f0151919949c1e55c1a677f1a7cda6f7514667270af6745c0d
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type: rasterhash
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REGRESSION:
791+
hash: b3a725ae64eec2aab8de1197f2306a0905c7c38de0dc89d58aadb3cc
792+
type: rasterhash
793+
RESIDUALS:
794+
name: expected/saga/multiple_regression_points_grids_res.shp
795+
type: vector
796+
compare:
797+
fields:
798+
TREND:
799+
precision: 2
800+
RESIDUAL:
801+
precision: 2

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