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corrosiveness

腐蚀作用

The Collaborative International Dictionary of English v.0.48 (gcide)

Corrosive \Cor*ro"sive\, n.
1. That which has the quality of eating or wearing away
gradually.
[1913 Webster]

[Corrosives] act either directly, by chemically
destroying the part, or indirectly by causing
inflammation and gangrene. --Dunglison.
[1913 Webster]

2. That which has the power of fretting or irritating.
[1913 Webster]

Such speeches . . . are grievous corrosives.
--Hooker.
-- {Cor*ro"sive*ly}, adv. -- {Cor*ro"sive*ness}, n.
[1913 Webster]

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corrosiveness	查看　corrosiveness　在Google字典中的解释	Google英翻中〔查看〕
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Fixed-effects OLS estimation — feols • fixest
To use multiple dependent variables in fixest estimations, you need to include them in a vector: like in c(y1, y2, y3) First, if names are stored in a vector, they can readily be inserted in a formula to perform multiple estimations using the dot square bracket operator
Pass a vector or string with several elements for the RHS variables to . . .
I need to run multiple estimations with feols, using sw (stepwise) Since I have many variables for the right-hand side, I would like to pass them as a vector or string with the vector elements
feols function - RDocumentation
Can be either a list of vectors, a character vector of variable names, a formula or an integer vector Assume we want to perform 2-way clustering over var1 and var2 contained in the data frame base used for the estimation
R: Fixed-effects OLS estimation
Estimates OLS with any number of fixed-effects
Package fixest reference manual
Fast and user-friendly estimation of econometric models with multiple fixed-effects Includes ordinary least squares (OLS), instrumental variables (IV), generalized linear models (GLM), maximum likelihood estimation (ML), and the negative binomial
10. 3 Fixed Effects Regression - Econometrics with R
As for lm () we have to specify the regression formula and the data to be used in our call of plm () Additionally, it is required to pass a vector of names of entity and time ID variables to the argument index

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