In "Non Linear Model Fit", 1) how we can check what initial guess it is taking? 2) how we can define our own initial guess to get better regression coefficient? 3) can we increase number of iterations?
data={{0.133315, 0.0999874, 0.000146902}, {0.166645, 0.0999874,
0.000214002}, {0.179184, 0.0999874, 0.0000934653}, {0.190344,
0.0999874, 0.000078778}, {0.199975, 0.0999874,
0.0000733382}, {0.211777, 0.0999874, 0.0000694502}, {0.222074,
0.0999874, 0.000121813}, {0.233305, 0.0999874,
0.000151461}, {0.266636, 0.0999874, 0.00015451}, {0.299968,
0.0999874, 0.000152593}, {0.199975, 0.0333287,
0.000025114}, {0.199975, 0.0666579, 0.0000846425}, {0.199975,
0.0752138, 0.0000452293}, {0.199975, 0.0876898,
0.0000409033}, {0.199975, 0.0999874, 0.0000733382}, {0.199975,
0.111659, 0.000106408}, {0.199975, 0.123177,
0.000128768}, {0.199975, 0.133317, 0.00019747}, {0.199975, 0.166648,
0.000230625}, {0.199975, 0.0752138, 0.0000452293}, {0.199975,
0.199978, 0.000278124}};
Subscript[r, PL] = k Pch4^a Po2^b;
NLM5 = NonlinearModelFit[data, Subscript[r,
PL], {k, a, b}, {Pch4, Po2}]
NLM5["AdjustedRSquared"]
NLM5["BestFitParameters"]