feat: documents matrix decomposition methods
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//! # Connector for nalgebra
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//!
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//! If you want to use [nalgebra](https://docs.rs/nalgebra/) matrices and vectors with SmartCore:
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//!
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//! ```
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//! use nalgebra::{DMatrix, RowDVector};
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//! use smartcore::linear::linear_regression::*;
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//! // Enable nalgebra connector
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//! use smartcore::linalg::nalgebra_bindings::*;
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//!
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//! // Longley dataset (https://www.statsmodels.org/stable/datasets/generated/longley.html)
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//! let x = DMatrix::from_row_slice(16, 6, &[
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//! 234.289, 235.6, 159.0, 107.608, 1947., 60.323,
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//! 259.426, 232.5, 145.6, 108.632, 1948., 61.122,
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//! 258.054, 368.2, 161.6, 109.773, 1949., 60.171,
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//! 284.599, 335.1, 165.0, 110.929, 1950., 61.187,
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//! 328.975, 209.9, 309.9, 112.075, 1951., 63.221,
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//! 346.999, 193.2, 359.4, 113.270, 1952., 63.639,
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//! 365.385, 187.0, 354.7, 115.094, 1953., 64.989,
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//! 363.112, 357.8, 335.0, 116.219, 1954., 63.761,
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//! 397.469, 290.4, 304.8, 117.388, 1955., 66.019,
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//! 419.180, 282.2, 285.7, 118.734, 1956., 67.857,
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//! 442.769, 293.6, 279.8, 120.445, 1957., 68.169,
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//! 444.546, 468.1, 263.7, 121.950, 1958., 66.513,
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//! 482.704, 381.3, 255.2, 123.366, 1959., 68.655,
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//! 502.601, 393.1, 251.4, 125.368, 1960., 69.564,
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//! 518.173, 480.6, 257.2, 127.852, 1961., 69.331,
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//! 554.894, 400.7, 282.7, 130.081, 1962., 70.551
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//! ]);
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//!
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//! let y: RowDVector<f64> = RowDVector::from_vec(vec![
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//! 83.0, 88.5, 88.2, 89.5, 96.2, 98.1, 99.0, 100.0,
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//! 101.2, 104.6, 108.4, 110.8, 112.6, 114.2, 115.7,
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//! 116.9,
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//! ]);
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//!
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//! let lr = LinearRegression::fit(&x, &y, Default::default());
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//! let y_hat = lr.predict(&x);
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//! ```
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use std::iter::Sum;
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use std::ops::{AddAssign, DivAssign, MulAssign, Range, SubAssign};
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