Description Usage Arguments Value

Find relationship between any two variables.

1 2 | ```
findrelation(iVar, iResp, criterion = "adj.R2", modelNames, str = FALSE,
cRes.all, cRes.best, cRes.print, x, nlsInits, nRes)
``` |

`iVar` |
The first parameter. |

`iResp` |
The second parameter. |

`criterion` |
What model fit parameter is used for ranking? (Default: adj.R2) |

`modelNames` |
A vector of model names chosen from "SL", "Quad", "SQuad", "Exp", "Log", "nls","CP" |

`str` |
TRUE/FALSE Is this a 'strength' type model fitting? (whether to use ^2 and sqrt functions) |

`cRes.all` |
A dataframe of all results, passed in by the netSEMm function |

`cRes.best` |
A dataframe of best results, passed in by the netSEMm function |

`cRes.print` |
A dataframe of results to print, passed in by the netSEMm function |

`x` |
A dataframe of data values, passed in by the netSEMm function |

`nlsInits` |
A vector of nls initialization coefficients, passed in by the netSEMm function |

`nRes` |
number of cells in the print variable, value passed in by the netSEmm function |

a list of the following items:

"cRes.all": A dataframe of all results.

"cRes.best": A dataframe of best results.

"cRes.print": A dataframe of results to print

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