Risulati del fit "z = a + b*x + c*y"

   a = (479.53 +- 0.33) * 10^3
   b = -5.6352 +- 0.0054
   c =  999.62 +- 0.88

# dettagli [r1 e' l'oggetto calcolato da pfit()]

> r1
$X
             x    y
 [1,] 1      0    0
 [2,] 1  16384    0
 [3,] 1  32768    0
 [4,] 1  49152    0
 [5,] 1  65536    0
 [6,] 1  81920    0
 [7,] 1      0    1
 [8,] 1  49152    1
 [9,] 1  81920    1
[10,] 1      0   10
[11,] 1  49152   10
[12,] 1  81920   10
[13,] 1      0  100
[14,] 1  49152  100
[15,] 1  98304  100
[16,] 1  98304 1000
[17,] 1 147456 1000
[18,] 1 196608 1000
[19,] 1 245760 1000

$par
[1] 479532.476992     -5.635194    999.616691

$res
 [1]  -792.476992  1344.549655   971.576303   868.602950   575.629597
 [6]   332.656245 -1282.093683   448.986259     3.039554 -1528.643902
[11]    52.436040  -393.510666 -1094.146095   586.933847  -181.986211
[16]  1062.991862   444.071804  -274.848254 -1143.768312

$res.srm
[1] 833.561

$cov
                            x            y
  105900.116107 -1.183183e+00 92.913320028
x     -1.183183  2.894325e-05 -0.003785931
y     92.913320 -3.785931e-03  0.766443420

$std
                        x            y
3.254230e+02 5.379894e-03 8.754675e-01

$rho
                      x          y
   1.0000000 -0.6758184  0.3261292
x -0.6758184  1.0000000 -0.8038202
y  0.3261292 -0.8038202  1.0000000




# confronto con risultati di lm()

Call:
lm(formula = z ~ x + y)

Residuals:
     Min       1Q   Median       3Q      Max
-1528.64  -592.99    52.44   581.28  1344.55

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept)  4.795e+05  3.254e+02    1474   <2e-16 ***
x           -5.635e+00  5.380e-03   -1047   <2e-16 ***
y            9.996e+02  8.755e-01    1142   <2e-16 ***