query: x and y axis nonlinear error fit possible?
positive_passages.docid: 54795
positive_passages.text: Estimate error on slope of linear regression given data with associated uncertainty
negative_passages.docid: 71313
negative_passages.text: Why is nls() giving me "singular gradient matrix at initial parameter estimates" errors?
negative_passages.docid: 18254
negative_passages.text: Is R-squared truly an invalid metric for non-linear models?
negative_passages.docid: 33067
negative_passages.text: Testing nonlinearity in logistic regression (or other forms of regression)
negative_passages.docid: 43556
negative_passages.text: How to do exponential and logarithmic curve fitting in Python? I found only polynomial fitting
negative_passages.docid: 158912
negative_passages.text: How to reduce the error in linear regression
negative_passages.docid: 81261
negative_passages.text: How can I get even steps on x and y axes in a plot?
negative_passages.docid: 84504
negative_passages.text: Discrepancy between calculated and simulated error propagation
negative_passages.docid: 111654
negative_passages.text: Moving-average model error terms
negative_passages.docid: 112318
negative_passages.text: Estimating the integrated Tchebychev function and calculating its error
negative_passages.docid: 57850
negative_passages.text: Bounding an Error on the inverse.
negative_passages.docid: 126198
negative_passages.text: Discrete Fourier Transform with x axis data?
negative_passages.docid: 125679
negative_passages.text: Weighted Root Mean Square Error
negative_passages.docid: 91745
negative_passages.text: Can we calculate the standard error of prediction just based on simple linear regression output?
negative_passages.docid: 71082
negative_passages.text: How to find a good fit for semi-sinusoidal model in R?
negative_passages.docid: 128162
negative_passages.text: Logarithmic y-axis and restrict y to domain fails
negative_passages.docid: 139006
negative_passages.text: Numerical underflow for a scaled error function