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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You 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.apache.commons.math3.optim.nonlinear.vector;
+
+import org.apache.commons.math3.optim.OptimizationData;
+
+/**
+ * Target of the optimization procedure.
+ * They are the values which the objective vector function must reproduce
+ * When the parameters of the model have been optimized.
+ * <br/>
+ * Immutable class.
+ *
+ * @since 3.1
+ * @deprecated All classes and interfaces in this package are deprecated.
+ * The optimizers that were provided here were moved to the
+ * {@link org.apache.commons.math3.fitting.leastsquares} package
+ * (cf. MATH-1008).
+ */
+@Deprecated
+public class Target implements OptimizationData {
+ /** Target values (of the objective vector function). */
+ private final double[] target;
+
+ /**
+ * @param observations Target values.
+ */
+ public Target(double[] observations) {
+ target = observations.clone();
+ }
+
+ /**
+ * Gets the initial guess.
+ *
+ * @return the initial guess.
+ */
+ public double[] getTarget() {
+ return target.clone();
+ }
+}