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diff --git a/src/main/java/org/apache/commons/math3/fitting/PolynomialFitter.java b/src/main/java/org/apache/commons/math3/fitting/PolynomialFitter.java
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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.fitting;
+
+import org.apache.commons.math3.analysis.polynomials.PolynomialFunction;
+import org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer;
+
+/**
+ * Polynomial fitting is a very simple case of {@link CurveFitter curve fitting}. The estimated
+ * coefficients are the polynomial coefficients (see the {@link #fit(double[]) fit} method).
+ *
+ * @since 2.0
+ * @deprecated As of 3.3. Please use {@link PolynomialCurveFitter} and {@link
+ *     WeightedObservedPoints} instead.
+ */
+@Deprecated
+public class PolynomialFitter extends CurveFitter<PolynomialFunction.Parametric> {
+    /**
+     * Simple constructor.
+     *
+     * @param optimizer Optimizer to use for the fitting.
+     */
+    public PolynomialFitter(MultivariateVectorOptimizer optimizer) {
+        super(optimizer);
+    }
+
+    /**
+     * Get the coefficients of the polynomial fitting the weighted data points. The degree of the
+     * fitting polynomial is {@code guess.length - 1}.
+     *
+     * @param guess First guess for the coefficients. They must be sorted in increasing order of the
+     *     polynomial's degree.
+     * @param maxEval Maximum number of evaluations of the polynomial.
+     * @return the coefficients of the polynomial that best fits the observed points.
+     * @throws org.apache.commons.math3.exception.TooManyEvaluationsException if the number of
+     *     evaluations exceeds {@code maxEval}.
+     * @throws org.apache.commons.math3.exception.ConvergenceException if the algorithm failed to
+     *     converge.
+     */
+    public double[] fit(int maxEval, double[] guess) {
+        return fit(maxEval, new PolynomialFunction.Parametric(), guess);
+    }
+
+    /**
+     * Get the coefficients of the polynomial fitting the weighted data points. The degree of the
+     * fitting polynomial is {@code guess.length - 1}.
+     *
+     * @param guess First guess for the coefficients. They must be sorted in increasing order of the
+     *     polynomial's degree.
+     * @return the coefficients of the polynomial that best fits the observed points.
+     * @throws org.apache.commons.math3.exception.ConvergenceException if the algorithm failed to
+     *     converge.
+     */
+    public double[] fit(double[] guess) {
+        return fit(new PolynomialFunction.Parametric(), guess);
+    }
+}