Index: kie-pmml/src/test/java/org/kie/pmml/pmml_4_2/predictive/models/mining/MiningModelSelectAllRegressionTest.java
===================================================================
diff -u -N
--- kie-pmml/src/test/java/org/kie/pmml/pmml_4_2/predictive/models/mining/MiningModelSelectAllRegressionTest.java	(revision 0)
+++ kie-pmml/src/test/java/org/kie/pmml/pmml_4_2/predictive/models/mining/MiningModelSelectAllRegressionTest.java	(revision f3c90f6040714b4e9b34f8fffb3cdaeb4dc501ff)
@@ -0,0 +1,116 @@
+/*
+ * Copyright 2018 Red Hat, Inc. and/or its affiliates.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *       http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.kie.pmml.pmml_4_2.predictive.models.mining;
+
+import java.util.Arrays;
+import java.util.Collection;
+import java.util.HashMap;
+import java.util.Iterator;
+import java.util.Map;
+
+import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.junit.runners.Parameterized;
+import org.junit.runners.Parameterized.Parameters;
+import org.kie.api.io.Resource;
+import org.kie.api.pmml.PMMLRequestData;
+import org.kie.internal.io.ResourceFactory;
+import org.kie.pmml.pmml_4_2.PMML4ExecutionHelper;
+import org.kie.pmml.pmml_4_2.PMMLRequestDataBuilder;
+import org.kie.pmml.pmml_4_2.model.mining.SegmentExecution;
+import org.kie.pmml.pmml_4_2.model.mining.SegmentExecutionState;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertTrue;
+
+@RunWith(Parameterized.class)
+public class MiningModelSelectAllRegressionTest {
+
+    private static final String PMML_SOURCE = "org/kie/pmml/pmml_4_2/test_mining_model_selectall_regression.pmml";
+    private static final String MINING_MODEL = "SampleMiningModel";
+
+    private static final String INPUT1_FIELD_NAME = "input1";
+    private static final String INPUT2_FIELD_NAME = "input2";
+    private static final String INPUT3_FIELD_NAME = "input3";
+    private static final String OUTPUT_FIELD_NAME = "Result";
+
+    private static final double COMPARISON_DELTA = 0.001;
+
+    private double input1;
+    private double input2;
+    private double input3;
+
+    @Parameters
+    public static Collection<Object[]> data() {
+        return Arrays.asList(new Object[][] {
+                { 10.0, 10.0, 10.0},
+                { 200.0, -1.0, 2.0},
+                { 90.0, 2.0, 4.0},
+        });
+    }
+
+    public MiningModelSelectAllRegressionTest(double input1, double input2, double input3) {
+        this.input1 = input1;
+        this.input2 = input2;
+        this.input3 = input3;
+    }
+
+    @Test
+    public void testMiningModelSelectAllRegression() {
+        final Resource res = ResourceFactory.newClassPathResource(PMML_SOURCE);
+        final PMML4ExecutionHelper helper = PMML4ExecutionHelper.PMML4ExecutionHelperFactory
+                .getExecutionHelper(MINING_MODEL, res, null, true);
+        final PMMLRequestDataBuilder rdb = new PMMLRequestDataBuilder("1234", MINING_MODEL)
+                .addParameter(INPUT1_FIELD_NAME, input1, Double.class)
+                .addParameter(INPUT2_FIELD_NAME, input2, Double.class)
+                .addParameter(INPUT3_FIELD_NAME, input3, Double.class);
+        PMMLRequestData request = rdb.build();
+        helper.submitRequest(request);
+        final Map<String, Double> expected = expectedResults(input1, input2, input3);
+        final Map<String, Double> executedSegments = new HashMap<>();
+        for (Iterator<SegmentExecution> iter = helper.getChildModelSegments().iterator(); iter.hasNext(); ) {
+            SegmentExecution cms = iter.next();
+            executedSegments.put(cms.getSegmentId(),
+                                 cms.getResult().getResultValue(OUTPUT_FIELD_NAME, "value", Double.class).orElse(null));
+        }
+        compareMaps(expected, executedSegments);
+    }
+
+    private Map<String, Double> expectedResults(double input1, double input2, double input3) {
+        final Map<String, Double> expected = new HashMap<>();
+
+        if (input1 < 50) {
+            expected.put("segment1", 500 + 2 * input1 + 5 * input2 + input3 * input3);
+        }
+        if (input1 > 150) {
+            expected.put("segment2", -500 + input1 + input2 + input3);
+        }
+        if (input1 < 100) {
+            expected.put("segment3", 800 + 2 * input1 * input1 + 2 * input2 * input2 + 2 * input3 * input3);
+        }
+
+        return expected;
+    }
+
+    private void compareMaps(Map<String, Double> expected, Map<String, Double> result) {
+        assertEquals(expected.size(), result.size());
+        for (String key : expected.keySet()) {
+            assertTrue(result.containsKey(key));
+            assertEquals(expected.get(key), result.get(key), COMPARISON_DELTA);
+        }
+    }
+}
Index: kie-pmml/src/test/java/org/kie/pmml/pmml_4_2/predictive/models/mining/MiningModelSumRegressionTest.java
===================================================================
diff -u -N
--- kie-pmml/src/test/java/org/kie/pmml/pmml_4_2/predictive/models/mining/MiningModelSumRegressionTest.java	(revision 0)
+++ kie-pmml/src/test/java/org/kie/pmml/pmml_4_2/predictive/models/mining/MiningModelSumRegressionTest.java	(revision f3c90f6040714b4e9b34f8fffb3cdaeb4dc501ff)
@@ -0,0 +1,92 @@
+/*
+ * Copyright 2018 Red Hat, Inc. and/or its affiliates.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *       http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.kie.pmml.pmml_4_2.predictive.models.mining;
+
+import java.util.Arrays;
+import java.util.Collection;
+import java.util.Optional;
+
+import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.junit.runners.Parameterized;
+import org.junit.runners.Parameterized.Parameters;
+import org.kie.api.io.Resource;
+import org.kie.api.pmml.PMMLRequestData;
+import org.kie.internal.io.ResourceFactory;
+import org.kie.pmml.pmml_4_2.PMML4ExecutionHelper;
+import org.kie.pmml.pmml_4_2.PMMLRequestDataBuilder;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertNotNull;
+
+@RunWith(Parameterized.class)
+public class MiningModelSumRegressionTest {
+
+    private static final String PMML_SOURCE = "org/kie/pmml/pmml_4_2/test_mining_model_summed_regression.pmml";
+    private static final String MINING_MODEL = "SampleMiningModel";
+
+    private static final String INPUT1_FIELD_NAME = "input1";
+    private static final String INPUT2_FIELD_NAME = "input2";
+    private static final String INPUT3_FIELD_NAME = "input3";
+    private static final String OUTPUT_FIELD_NAME = "Sum_Result";
+
+    private static final double COMPARISON_DELTA = 0.001;
+
+    private Optional<Double> input1;
+    private Optional<Double> input2;
+    private Optional<Double> input3;
+    private double result;
+
+    @Parameters
+    public static Collection<Object[]> data() {
+        return Arrays.asList(new Object[][] {
+                { Optional.of(10.0), Optional.of(10.0), Optional.of(10.0), 2070 },
+                { Optional.of(200.0), Optional.of(-1.0), Optional.of(2.0), -299 },
+                { Optional.of(90.0), Optional.of(2.0), Optional.of(4.0), 17040 },
+        });
+    }
+
+    public MiningModelSumRegressionTest(Optional<Double> input1, Optional<Double> input2,
+                                                Optional<Double> input3, double result) {
+        this.input1 = input1;
+        this.input2 = input2;
+        this.input3 = input3;
+        this.result = result;
+    }
+
+    @Test
+    public void testMiningModelSumRegression() {
+        final Resource res = ResourceFactory.newClassPathResource(PMML_SOURCE);
+        final PMML4ExecutionHelper helper = PMML4ExecutionHelper.PMML4ExecutionHelperFactory
+                .getExecutionHelper(MINING_MODEL, res, null, true);
+        final PMMLRequestDataBuilder rdb = new PMMLRequestDataBuilder("1234", MINING_MODEL);
+        input1.ifPresent(x -> rdb.addParameter(INPUT1_FIELD_NAME, x, Double.class));
+        input2.ifPresent(x -> rdb.addParameter(INPUT2_FIELD_NAME, x, Double.class));
+        input3.ifPresent(x -> rdb.addParameter(INPUT3_FIELD_NAME, x, Double.class));
+        PMMLRequestData request = rdb.build();
+        helper.submitRequest(request);
+        helper.getResultData().iterator().forEachRemaining(rd -> {
+            assertEquals(request.getCorrelationId(), rd.getCorrelationId());
+            if (rd.getSegmentationId() == null) {
+                assertEquals("OK",rd.getResultCode());
+                double value = rd.getResultValue(OUTPUT_FIELD_NAME, "value", Double.class).orElse(null);
+                assertNotNull(value);
+                assertEquals(result, value, COMPARISON_DELTA);
+            }
+        });
+    }
+}
Index: kie-pmml/src/test/java/org/kie/pmml/pmml_4_2/predictive/models/mining/MiningModelWeightedAverageTest.java
===================================================================
diff -u -N
--- kie-pmml/src/test/java/org/kie/pmml/pmml_4_2/predictive/models/mining/MiningModelWeightedAverageTest.java	(revision 0)
+++ kie-pmml/src/test/java/org/kie/pmml/pmml_4_2/predictive/models/mining/MiningModelWeightedAverageTest.java	(revision f3c90f6040714b4e9b34f8fffb3cdaeb4dc501ff)
@@ -0,0 +1,93 @@
+/*
+ * Copyright 2018 Red Hat, Inc. and/or its affiliates.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *       http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.kie.pmml.pmml_4_2.predictive.models.mining;
+
+import java.util.Arrays;
+import java.util.Collection;
+import java.util.Optional;
+
+import org.junit.Ignore;
+import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.junit.runners.Parameterized;
+import org.kie.api.io.Resource;
+import org.kie.api.pmml.PMMLRequestData;
+import org.kie.internal.io.ResourceFactory;
+import org.kie.pmml.pmml_4_2.PMML4ExecutionHelper;
+import org.kie.pmml.pmml_4_2.PMMLRequestDataBuilder;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertNotNull;
+
+@RunWith(Parameterized.class)
+@Ignore("RHPAM-1500")
+public class MiningModelWeightedAverageTest {
+
+    private static final String PMML_SOURCE = "org/kie/pmml/pmml_4_2/test_mining_model_weighted_avg_regression.pmml";
+    private static final String MINING_MODEL = "SampleMiningModel";
+
+    private static final String INPUT1_FIELD_NAME = "input1";
+    private static final String INPUT2_FIELD_NAME = "input2";
+    private static final String INPUT3_FIELD_NAME = "input3";
+    private static final String OUTPUT_FIELD_NAME = "Result";
+
+    private static final double COMPARISON_DELTA = 0.001;
+
+    private Optional<Double> input1;
+    private Optional<Double> input2;
+    private Optional<Double> input3;
+    private double result;
+
+    @Parameterized.Parameters
+    public static Collection<Object[]> data() {
+        return Arrays.asList(new Object[][] {
+                { Optional.of(10.0), Optional.of(10.0), Optional.of(10.0), 1156.6666 },
+                { Optional.of(200.0), Optional.of(-1.0), Optional.of(2.0), -299 },
+                { Optional.of(5.0), Optional.of(2.0), Optional.of(4.0), 772 },
+        });
+    }
+
+    public MiningModelWeightedAverageTest(Optional<Double> input1, Optional<Double> input2,
+                                        Optional<Double> input3, double result) {
+        this.input1 = input1;
+        this.input2 = input2;
+        this.input3 = input3;
+        this.result = result;
+    }
+
+    @Test
+    public void testMiningModelWeightedAverageRegression() {
+        final Resource res = ResourceFactory.newClassPathResource(PMML_SOURCE);
+        final PMML4ExecutionHelper helper = PMML4ExecutionHelper.PMML4ExecutionHelperFactory
+                .getExecutionHelper(MINING_MODEL, res, null, true);
+        final PMMLRequestDataBuilder rdb = new PMMLRequestDataBuilder("1234", MINING_MODEL);
+        input1.ifPresent(x -> rdb.addParameter(INPUT1_FIELD_NAME, x, Double.class));
+        input2.ifPresent(x -> rdb.addParameter(INPUT2_FIELD_NAME, x, Double.class));
+        input3.ifPresent(x -> rdb.addParameter(INPUT3_FIELD_NAME, x, Double.class));
+        PMMLRequestData request = rdb.build();
+        helper.submitRequest(request);
+        helper.getResultData().iterator().forEachRemaining(rd -> {
+            assertEquals(request.getCorrelationId(), rd.getCorrelationId());
+            if (rd.getSegmentationId() == null) {
+                assertEquals("OK",rd.getResultCode());
+                double value = rd.getResultValue(OUTPUT_FIELD_NAME, "value", Double.class).orElse(null);
+                assertNotNull(value);
+                assertEquals(result, value, COMPARISON_DELTA);
+            }
+        });
+    }
+}
Index: kie-pmml/src/test/resources/org/kie/pmml/pmml_4_2/test_mining_model_selectall_regression.pmml
===================================================================
diff -u -N
--- kie-pmml/src/test/resources/org/kie/pmml/pmml_4_2/test_mining_model_selectall_regression.pmml	(revision 0)
+++ kie-pmml/src/test/resources/org/kie/pmml/pmml_4_2/test_mining_model_selectall_regression.pmml	(revision f3c90f6040714b4e9b34f8fffb3cdaeb4dc501ff)
@@ -0,0 +1,71 @@
+<PMML version="4.2" xsi:schemaLocation="http://www.dmg.org/PMML-4_2 http://www.dmg.org/v4-2-1/pmml-4-2.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+   xmlns="http://www.dmg.org/PMML-4_2">
+  <Header />
+
+  <DataDictionary numberOfFields="4">
+    <DataField dataType="double" name="input1" optype="continuous" />
+    <DataField dataType="double" name="input2" optype="continuous" />
+    <DataField dataType="double" name="input3" optype="continuous"/>
+    <DataField dataType="double" name="result" optype="continuous"/>
+  </DataDictionary>
+
+  <MiningModel modelName="SampleMiningModel" functionName="regression">
+    <MiningSchema>
+      <MiningField name="input1" usageType="active" />
+      <MiningField name="input2" usageType="active" />
+      <MiningField name="input3" usageType="active" />
+      <MiningField name="result" usageType="target" />
+    </MiningSchema>
+
+    <Segmentation multipleModelMethod="selectAll">
+      <Segment id="segment1">
+        <SimplePredicate field="input1" operator="lessThan" value="50" />
+        <RegressionModel modelName="regression1" functionName="regression" algorithmName="regression" targetFieldName="result">
+          <MiningSchema>
+            <MiningField name="input1" usageType="active" />
+            <MiningField name="input2" usageType="active" />
+            <MiningField name="input3" usageType="active" />
+            <MiningField name="result" usageType="target" />
+          </MiningSchema>
+          <RegressionTable intercept="500">
+            <NumericPredictor name="input1" exponent="1" coefficient="2" />
+            <NumericPredictor name="input2" exponent="1" coefficient="5" />
+            <NumericPredictor name="input3" exponent="2" coefficient="1" />
+          </RegressionTable>
+        </RegressionModel>
+      </Segment>
+      <Segment id="segment2">
+        <SimplePredicate field="input1" operator="greaterThan" value="150" />
+        <RegressionModel modelName="regression2" functionName="regression" algorithmName="regression" targetFieldName="result">
+          <MiningSchema>
+            <MiningField name="input1" usageType="active" />
+            <MiningField name="input2" usageType="active" />
+            <MiningField name="input3" usageType="active" />
+            <MiningField name="result" usageType="target" />
+          </MiningSchema>
+          <RegressionTable intercept="-500">
+            <NumericPredictor name="input1" exponent="1" coefficient="1" />
+            <NumericPredictor name="input2" exponent="1" coefficient="1" />
+            <NumericPredictor name="input3" exponent="1" coefficient="1" />
+          </RegressionTable>
+        </RegressionModel>
+      </Segment>
+      <Segment id="segment3">
+        <SimplePredicate field="input1" operator="lessThan" value="100" />
+        <RegressionModel modelName="regression3" functionName="regression" algorithmName="linearRegression" targetFieldName="result">
+          <MiningSchema>
+            <MiningField name="input1" usageType="active" />
+            <MiningField name="input2" usageType="active" />
+            <MiningField name="input3" usageType="active" />
+            <MiningField name="result" usageType="target" />
+          </MiningSchema>
+          <RegressionTable intercept="800">
+            <NumericPredictor name="input1" exponent="2" coefficient="2" />
+            <NumericPredictor name="input2" exponent="2" coefficient="2" />
+            <NumericPredictor name="input3" exponent="2" coefficient="2" />
+          </RegressionTable>
+        </RegressionModel>
+      </Segment>
+    </Segmentation>
+  </MiningModel>
+</PMML>
Index: kie-pmml/src/test/resources/org/kie/pmml/pmml_4_2/test_mining_model_summed_regression.pmml
===================================================================
diff -u -N
--- kie-pmml/src/test/resources/org/kie/pmml/pmml_4_2/test_mining_model_summed_regression.pmml	(revision 0)
+++ kie-pmml/src/test/resources/org/kie/pmml/pmml_4_2/test_mining_model_summed_regression.pmml	(revision f3c90f6040714b4e9b34f8fffb3cdaeb4dc501ff)
@@ -0,0 +1,71 @@
+<PMML version="4.2" xsi:schemaLocation="http://www.dmg.org/PMML-4_2 http://www.dmg.org/v4-2-1/pmml-4-2.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+   xmlns="http://www.dmg.org/PMML-4_2">
+  <Header />
+
+  <DataDictionary numberOfFields="4">
+    <DataField dataType="double" name="input1" optype="continuous" />
+    <DataField dataType="double" name="input2" optype="continuous" />
+    <DataField dataType="double" name="input3" optype="continuous"/>
+    <DataField dataType="double" name="result" optype="continuous"/>
+  </DataDictionary>
+
+  <MiningModel modelName="SampleMiningModel" functionName="regression">
+    <MiningSchema>
+      <MiningField name="input1" usageType="active" />
+      <MiningField name="input2" usageType="active" />
+      <MiningField name="input3" usageType="active" />
+      <MiningField name="result" usageType="target" />
+    </MiningSchema>
+
+    <Segmentation multipleModelMethod="sum">
+      <Segment>
+        <SimplePredicate field="input1" operator="lessThan" value="50" />
+        <RegressionModel modelName="regression1" functionName="regression" algorithmName="regression" targetFieldName="result">
+          <MiningSchema>
+            <MiningField name="input1" usageType="active" />
+            <MiningField name="input2" usageType="active" />
+            <MiningField name="input3" usageType="active" />
+            <MiningField name="result" usageType="target" />
+          </MiningSchema>
+          <RegressionTable intercept="500">
+            <NumericPredictor name="input1" exponent="1" coefficient="2" />
+            <NumericPredictor name="input2" exponent="1" coefficient="5" />
+            <NumericPredictor name="input3" exponent="2" coefficient="1" />
+          </RegressionTable>
+        </RegressionModel>
+      </Segment>
+      <Segment>
+        <SimplePredicate field="input1" operator="greaterThan" value="150" />
+        <RegressionModel modelName="regression2" functionName="regression" algorithmName="regression" targetFieldName="result">
+          <MiningSchema>
+            <MiningField name="input1" usageType="active" />
+            <MiningField name="input2" usageType="active" />
+            <MiningField name="input3" usageType="active" />
+            <MiningField name="result" usageType="target" />
+          </MiningSchema>
+          <RegressionTable intercept="-500">
+            <NumericPredictor name="input1" exponent="1" coefficient="1" />
+            <NumericPredictor name="input2" exponent="1" coefficient="1" />
+            <NumericPredictor name="input3" exponent="1" coefficient="1" />
+          </RegressionTable>
+        </RegressionModel>
+      </Segment>
+      <Segment>
+        <SimplePredicate field="input1" operator="lessThan" value="100" />
+        <RegressionModel modelName="regression3" functionName="regression" algorithmName="linearRegression" targetFieldName="result">
+          <MiningSchema>
+            <MiningField name="input1" usageType="active" />
+            <MiningField name="input2" usageType="active" />
+            <MiningField name="input3" usageType="active" />
+            <MiningField name="result" usageType="target" />
+          </MiningSchema>
+          <RegressionTable intercept="800">
+            <NumericPredictor name="input1" exponent="2" coefficient="2" />
+            <NumericPredictor name="input2" exponent="2" coefficient="2" />
+            <NumericPredictor name="input3" exponent="2" coefficient="2" />
+          </RegressionTable>
+        </RegressionModel>
+      </Segment>
+    </Segmentation>
+  </MiningModel>
+</PMML>
Index: kie-pmml/src/test/resources/org/kie/pmml/pmml_4_2/test_mining_model_weighted_avg_regression.pmml
===================================================================
diff -u -N
--- kie-pmml/src/test/resources/org/kie/pmml/pmml_4_2/test_mining_model_weighted_avg_regression.pmml	(revision 0)
+++ kie-pmml/src/test/resources/org/kie/pmml/pmml_4_2/test_mining_model_weighted_avg_regression.pmml	(revision f3c90f6040714b4e9b34f8fffb3cdaeb4dc501ff)
@@ -0,0 +1,71 @@
+<PMML version="4.2" xsi:schemaLocation="http://www.dmg.org/PMML-4_2 http://www.dmg.org/v4-2-1/pmml-4-2.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+   xmlns="http://www.dmg.org/PMML-4_2">
+  <Header />
+
+  <DataDictionary numberOfFields="4">
+    <DataField dataType="double" name="input1" optype="continuous" />
+    <DataField dataType="double" name="input2" optype="continuous" />
+    <DataField dataType="double" name="input3" optype="continuous"/>
+    <DataField dataType="double" name="result" optype="continuous"/>
+  </DataDictionary>
+
+  <MiningModel modelName="SampleMiningModel" functionName="regression">
+    <MiningSchema>
+      <MiningField name="input1" usageType="active" />
+      <MiningField name="input2" usageType="active" />
+      <MiningField name="input3" usageType="active" />
+      <MiningField name="result" usageType="target" />
+    </MiningSchema>
+
+    <Segmentation multipleModelMethod="weightedAverage">
+      <Segment weight="1">
+        <SimplePredicate field="input1" operator="lessThan" value="50" />
+        <RegressionModel modelName="regression1" functionName="regression" algorithmName="regression" targetFieldName="result">
+          <MiningSchema>
+            <MiningField name="input1" usageType="active" />
+            <MiningField name="input2" usageType="active" />
+            <MiningField name="input3" usageType="active" />
+            <MiningField name="result" usageType="target" />
+          </MiningSchema>
+          <RegressionTable intercept="500">
+            <NumericPredictor name="input1" exponent="1" coefficient="2" />
+            <NumericPredictor name="input2" exponent="1" coefficient="5" />
+            <NumericPredictor name="input3" exponent="2" coefficient="1" />
+          </RegressionTable>
+        </RegressionModel>
+      </Segment>
+      <Segment weight="1">
+        <SimplePredicate field="input1" operator="greaterThan" value="150" />
+        <RegressionModel modelName="regression2" functionName="regression" algorithmName="regression" targetFieldName="result">
+          <MiningSchema>
+            <MiningField name="input1" usageType="active" />
+            <MiningField name="input2" usageType="active" />
+            <MiningField name="input3" usageType="active" />
+            <MiningField name="result" usageType="target" />
+          </MiningSchema>
+          <RegressionTable intercept="-500">
+            <NumericPredictor name="input1" exponent="1" coefficient="1" />
+            <NumericPredictor name="input2" exponent="1" coefficient="1" />
+            <NumericPredictor name="input3" exponent="1" coefficient="1" />
+          </RegressionTable>
+        </RegressionModel>
+      </Segment>
+      <Segment weight="2">
+        <SimplePredicate field="input1" operator="lessThan" value="100" />
+        <RegressionModel modelName="regression3" functionName="regression" algorithmName="linearRegression" targetFieldName="result">
+          <MiningSchema>
+            <MiningField name="input1" usageType="active" />
+            <MiningField name="input2" usageType="active" />
+            <MiningField name="input3" usageType="active" />
+            <MiningField name="result" usageType="target" />
+          </MiningSchema>
+          <RegressionTable intercept="800">
+            <NumericPredictor name="input1" exponent="2" coefficient="2" />
+            <NumericPredictor name="input2" exponent="2" coefficient="2" />
+            <NumericPredictor name="input3" exponent="2" coefficient="2" />
+          </RegressionTable>
+        </RegressionModel>
+      </Segment>
+    </Segmentation>
+  </MiningModel>
+</PMML>