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* add Regression module, from eigen1, improved, with doc and unit-test.
* fix .normalized() so that Random().normalized() works; since the return type became complicated to write down i just let it return an actual vector, perhaps not optimal. * add Sparse/CMakeLists.txt. I suppose that it was intentional that it didn't have CMakeLists, but in <=2.0 releases I'll just manually remove Sparse.
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@@ -330,7 +330,7 @@ template<typename Derived> class MatrixBase
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Scalar dot(const MatrixBase<OtherDerived>& other) const;
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RealScalar norm2() const;
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RealScalar norm() const;
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const ScalarQuotient1ReturnType normalized() const;
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const EvalType normalized() const;
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void normalize();
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Transpose<Derived> transpose();
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