diff --git a/openbr/plugins/imgproc/origlinearregression.cpp b/openbr/plugins/imgproc/origlinearregression.cpp
deleted file mode 100644
index eec1063..0000000
--- a/openbr/plugins/imgproc/origlinearregression.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
- * Copyright 2012 The MITRE Corporation                                      *
- *                                                                           *
- * 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.                                            *
- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
-
-#include <openbr/plugins/openbr_internal.h>
-
-using namespace cv;
-
-namespace br
-{
-
-/*!
- * \ingroup transforms
- * \brief Prediction with magic numbers from jmp; must get input as blue;green;red
- * \author E. Taborsky \cite mmtaborsky
- */
-class OrigLinearRegressionTransform : public UntrainableMetaTransform
-{
-    Q_OBJECT
-
-    void project(const Template &src, Template &dst) const
-    {
-        if (src.size() != 3) qFatal("Expected exactly three source images, got %d.", src.size());
-        Mat m1; src[0].convertTo(m1, CV_32F); assert(m1.isContinuous() && (m1.channels() == 1));
-        Mat m2; src[1].convertTo(m2, CV_32F); assert(m2.isContinuous() && (m2.channels() == 1));
-        Mat m3; src[2].convertTo(m3, CV_32F); assert(m3.isContinuous() && (m3.channels() == 1));
-
-        const float rmult = .809911, gmult = -.09625, bmult = -.020115, add = 35.78;
-
-        Mat dstmat(m1.size(), CV_32F);
-
-        int rows = m1.rows;
-        int cols = m1.cols;
-
-        const float *pb = (const float*) m1.ptr(), *pg = (const float*) m2.ptr(), *pr = (const float*) m3.ptr();
-        float *pd = (float*)dstmat.ptr();
-        for (int r = 0; r < rows; r++){
-            for (int c = 0; c < cols; c++){
-                int index = r*cols+c;
-                const float bval = pb[index], gval = pg[index], rval = pr[index];
-                pd[index] = bval*bmult+ gval*gmult+rval*rmult+add;
-            }
-        }
-        dst = dstmat;
-    }
-};
-
-BR_REGISTER(Transform, OrigLinearRegressionTransform)
-
-} // namespace br
-
-#include "imgproc/origlinearregression.moc"