[[Model]]
    Model(Circuit)
[[Fit Statistics]]
    # fitting method   = least_squares
    # function evals   = 127
    # data points      = 202
    # variables        = 6
    chi-square         = 8511.91651
    reduced chi-square = 43.4281455
    Akaike info crit   = 767.672851
    Bayesian info crit = 787.522457
    R-squared          = 0.99996027
[[Variables]]
    Rseries:   50 (fixed)
    RL:        0 (fixed)
    Rct1:      14.2767195 +/- 0.72721475 (5.09%) (init = 14.6)
    Rct2:      20165.0664 +/- 526.487604 (2.61%) (init = 901.9)
    RctO2:     133569.207 +/- 4731.68429 (3.54%) (init = 7150.1)
    Cdl:       6.2461e-09 +/- 2.3664e-08 (378.85%) (init = 8e-06)
    Cpseudo1:  2.1254e-05 +/- 4.2901e-08 (0.20%) (init = 8.5e-05)
    Cpseudo2:  3.7830e-06 +/- 2.5898e-08 (0.68%) (init = 4.7e-05)
    L:         0 (fixed)
[[Correlations]] (unreported correlations are < 0.100)
    C(Rct2, Cpseudo1)     = +0.7110
    C(Cdl, Cpseudo1)      = -0.5417
    C(RctO2, Cpseudo2)    = +0.4783
    C(Rct2, RctO2)        = +0.3938
    C(Rct1, Rct2)         = +0.3065
    C(Rct1, Cpseudo1)     = +0.2245
    C(Rct1, Cpseudo2)     = -0.2193
    C(Cpseudo1, Cpseudo2) = -0.2087
    C(Rct1, RctO2)        = +0.1307