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Task/Multiple-regression/BBC-BASIC/multiple-regression.basic
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Task/Multiple-regression/BBC-BASIC/multiple-regression.basic
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*FLOAT 64
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INSTALL @lib$+"ARRAYLIB"
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DIM y(14), x(2,14), c(2)
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y() = 52.21, 53.12, 54.48, 55.84, 57.20, 58.57, 59.93, 61.29, \
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\ 63.11, 64.47, 66.28, 68.10, 69.92, 72.19, 74.46
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x() = 1.47, 1.50, 1.52, 1.55, 1.57, 1.60, 1.63, 1.65, \
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\ 1.68, 1.70, 1.73, 1.75, 1.78, 1.80, 1.83
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FOR row% = DIM(x(),1) TO 0 STEP -1
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FOR col% = 0 TO DIM(x(),2)
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x(row%,col%) = x(0,col%) ^ row%
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NEXT
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NEXT row%
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PROCmultipleregression(y(), x(), c())
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FOR i% = 0 TO DIM(c(),1) : PRINT c(i%) " "; : NEXT
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PRINT
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END
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DEF PROCmultipleregression(y(), x(), c())
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LOCAL m(), t()
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DIM m(DIM(x(),1), DIM(x(),1)), t(DIM(x(),2),DIM(x(),1))
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PROC_transpose(x(), t())
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m() = x().t()
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PROC_invert(m())
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t() = t().m()
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c() = y().t()
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ENDPROC
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